I work at the intersection of AI strategy, product development and enterprise operations. As Lead Data Scientist at EPAM Systems, I lead AI/ML engagements, help shape opportunities and delivery teams, and work with senior stakeholders on value, adoption and governance. Previously at Reckitt, I translated research into a production application for product shelf-life prediction and developed analytics for manufacturing and supply operations. My work combines hands-on technical depth with cross-functional delivery, mentoring and industry–academic collaboration. I hold a PhD in Computer Science from the University of Hull and am a Distinguished Visiting Fellow at Loughborough University.
Lead AI/ML consulting and delivery for Fortune 500 and FTSE 250 organisations across R&D, manufacturing, procurement and supply services. Contribute to multi-million-pound engagements across Europe and North America, from use-case discovery, proposals and proof of value to delivery and governance. Help assemble project teams through technical and project interviews, mentor data scientists and senior data scientists, and work with senior leaders and domain experts.
Direct client delivery projects for Reckitt and Syngenta Group.
Supported the EPAM team with pitching and identifying ML and GenAI use cases for Qatar Airways, Unilever, Barry Callebaut, Brussels Airport Company, Cleveland Clinic Abu Dhabi, Adidas, Co-op, Currys and PPG Industries.
Supported pre-sales through solution pitches, RFP responses for new and existing accounts, and project planning.
AI strategy, products and delivery
Lead AI/ML solution development across R&D, manufacturing, procurement and supply services for Fortune 500 and FTSE 250 organisations within the UK and Western Europe AI/ML Consulting team.
Contribute to multi-million-pound data science engagements across Europe and North America, working with cross-functional global teams, client senior leadership and subject-matter experts.
Identify suitable business use cases, data streams, modelling approaches and governance strategies for decision support, cost efficiency and speed to market.
Work across strategy and governance, proof of concept, proof of value and end-to-end AI consulting, including GenAI engineering, data analytics and data science.
Teams and knowledge sharing
Conduct technical and project interviews to help hire and assemble business analysts, data scientists and data engineers for client projects.
Mentor data scientists and senior data scientists.
Author articles for EPAM’s Supply Chain Management community, co-organise educational AI workshops for clients and review editorial content for the GenAI-X community.
Python, Retool, Postman, pgAdmin and APIs for end-to-end AI/ML and GenAI solutions.
Oct 2023 - Dec 2024
IT & Digital Data Scientist - Supply Chain / Senior Business Analyst
Reckitt (formerly Reckitt Benckiser Group PLC), Hull, UK
Developed manufacturing analytics for continued process verification, connecting SAP, quality, environmental and process data. Supported the adoption of causal AI across factories and contributed to approximately 30% waste reduction in major UK factories. Built decision-support tools for logistics consolidation and Agile capacity planning, engaged quality and IT leadership, and mentored graduates and interns. Predictive analytics demonstrated savings potential of up to £300k per year in evaluation.
Worked with IT&D, R&D, Supply and Global Data Science teams across the UK, USA, India and Poland on pharmaceutical and nutraceutical brands including Nurofen, Strepsils and Airborne, supporting a multi-billion-pound portfolio.
Presented AI innovation outcomes to the SVP Quality and SVP IT&D Supply, and engaged the CIO and Global Data Science team through Reckitt’s AI/ML Community of Practice.
Manufacturing quality, waste and operational performance
Developed a scalable data model for Continued Process Verification (CPV), covering formulation and packaging, manufacturing stages, input raw-material attributes and finished-product outputs.
Integrated SAP, environmental management, quality-control and historian process-parameter data with input from subject-matter experts across Europe and North America.
Performed exploratory analysis, preprocessing, statistical analysis, nonlinear predictive modelling, root-cause analysis and causal inference. Evaluation demonstrated savings potential of up to £300k per year.
Contributed to approximately 30% waste reduction in major UK factories and to the adoption of data-led continuous improvement in manufacturing and quality control.
Targeted the availability, quality and performance components of Overall Equipment Effectiveness through predictive maintenance, CPV, predictive stability and real-time insights, with an emphasis on reducing raw-material and packaging waste.
Operational tools and accessible insights
Used open-source LLMs through Ollama and LangChain to turn complex manufacturing analytics into explanations accessible to subject-matter experts.
Built models for Agile team capacity and resource planning using historical Program Increment data, user stories and feature counts.
Developed a Cost-to-Serve logistics tool to identify shipment consolidation opportunities and convert Less than Truck Load (LTL) into Full Truck Load (FTL).
Adoption, proof of value and connected initiatives
Led the IT&D contribution to adopting a causal-AI manufacturing analytics platform, supporting factory proof-of-value demonstrations, data transformations and strategic engagement with subject-matter experts.
Expanded predictive stability analysis by connecting Ongoing Stability Studies data from SAP and QC Supply with the existing R&D model built using LIMS data.
Initiated a predictive-maintenance proof of concept using factory condition-monitoring data.
Supported manufacturing colleagues in encouraging augmented- and virtual-reality adoption for predictive maintenance and training operations and maintenance personnel.
Industry forums, responsible AI and mentoring
Represented Reckitt at the FMCG CQO Roundtable alongside quality leaders from Unilever, ELC Europe, Sanofi, Haleon, Galderma and Kenvue.
Joined the EthonAI expert roundtable “From Statistics to Causal AI” with industry leaders from Bosch, Lindt, Infineon Technologies and SFS Group.
Presented at internal forums including the Global QC Excellence Forum and delivered talks in Global QC workshops.
Contributed case studies for Responsible AI training, educated supply-chain colleagues through workshops, and mentored graduates and interns while delegating appropriate tasks.
Oct 2021 - Sep 2023
IT & Digital Data Scientist - R&D / KTP Associate
Reckitt (formerly Reckitt Benckiser Group PLC), Hull, UK
Led the AI workstream of a jointly funded Innovate UK Knowledge Transfer Partnership, translating chemistry and laboratory research into a shelf-life prediction application. Worked across R&D, data science, engineering and UI/UX teams on models, accessible interfaces and cloud deployment. Helped shape the longer-term use of AI in product design and testing and supported adoption through workshops and leadership engagement. The partnership received an Outstanding grade; evaluation demonstrated potential annual savings of $780k and 10,000 lab hours.
Led the AI workstream in a $200k jointly funded Knowledge Transfer Partnership between Reckitt and the University of Hull, supported by Innovate UK and UKRI.
The partnership received Innovate UK’s Certificate of Excellence with an Outstanding rating, the highest possible grade.
From research to a usable AI product
Developed an AI application for decision support in shelf-life prediction of healthcare products, estimating active-ingredient overage early in development.
Worked from model development through production application development, including accessible interfaces and user experience, collaborating with Reckitt’s Global Data Science team on cloud deployment.
Combined laboratory data with chemistry knowledge to improve stability prediction and formulation optimisation, including limited-data settings, for pharmaceutical and nutraceutical products.
Collaborated with R&D scientists, ML engineers, data scientists and UI/UX developers across North America and Europe to plan development and meet milestones and deliverables.
Evaluation and resource efficiency
Evaluation demonstrated potential annual reductions of approximately $780k in stability-testing costs and 10,000 laboratory hours, with potential energy savings of more than 2,000 kWh per year.
Helped reduce raw-material waste by predicting early which new formulations were likely to fail intended shelf-life specifications.
Coauthored a poster accepted for Reckitt’s first Science Inside Symposium, organised by the Chief R&D Officer in Hull.
AI adoption and longer-term strategy
Helped shape a long-term plan for intelligent data analysis in product design and testing, translating research into commercially useful corporate applications.
Investigated explainable AI components to make predictions transparent and build understanding of the domain.
Supported AI awareness and uptake through TechTalks with senior leadership including the CIO, presentations to the SVP IT&D R&D, and cohosting AI forums for the IT&D R&D group.
Developed colleagues’ data and AI capabilities through learning sessions, specialist workshops and regular discussion.
Oct 2021 - Oct 2023
Postdoctoral Researcher
University of Hull, Hull, UK
Pursued R&D in hybrid AI models combining laboratory data with chemistry domain-specific knowledge for pharmaceutical and nutraceutical product development. Collaborated with Reckitt on R&D NPD & EPD applications. Contributed to recruitment panels, PhD co-supervision and talks for undergraduate and postgraduate students.
Developed hybrid AI models combining LIMS laboratory data with domain-specific chemistry information, including SMILES molecular fingerprints of active pharmaceutical ingredients.
Collaborated with Reckitt through the KTP on accelerating new and existing pharmaceutical and nutraceutical product development in the FMCG industry.
Translated academic findings into commercially useful solutions and communicated technical concepts to academic and industry stakeholders.
Documented research through technical reports and publications.
Academic leadership and developing researchers
Served on recruitment panels interviewing postdoctoral researchers and research associates in data analytics, data science and AI.
Mentored PhD students as a co-supervisor and delivered talks to BSc and MSc students, including through Hull’s Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM).
Jun 2022 - Aug 2022
Visiting Researcher
University of Bremen, Bremen, Germany
Visiting research stay at the University of Bremen as part of the Green Talents Award from the German Federal Ministry of Education and Research (BMBF). Collaborated on sustainable AI and energy research.
Research visit supported by the German Federal Ministry of Education and Research’s Green Talents Award, with virtual work in June–July 2022 and an in-person stay in July–August 2022.
Worked on the EisAuge project, developing deep-learning and transfer-learning approaches for detecting ice on wind turbine blades.
Developed a generalised ice-detection system designed to transfer predictions across wind farms when trained on data from a single, distinct farm.
Sep 2018 - Sep 2021
PhD Student-Researcher
University of Hull, Hull, UK
Conducted doctoral research on "Explainable AI for Operations & Maintenance of Wind Turbines" under the supervision of Dr. Nina Dethlefs. Developed novel AI techniques for fault detection, diagnosis, and prognosis using SCADA data.
Applied deep learning to turbine sensor (SCADA) data and alarm records to support engineers and technicians in wind turbine operations and maintenance.
Investigated anomaly prediction, maintenance planning and condition-based monitoring to improve reliability and reduce downtime and operations and maintenance costs.
Used natural language generation, temporal causal inference and knowledge graphs to explain anomalies, plan maintenance and generate understandable decision-support reports.
Developed a complete question-answering system combining AI models with a domain-specific knowledge graph for interactive maintenance decision support.
Collaboration and dissemination
Collaborated with wind-farm operators and research organisations including ORE Catapult.
Worked within the Aura Wind Energy PhD Cluster and Hull’s Dependable Intelligent Systems / Big Data Analytics Research Group.
Presented research internally and externally, including Aura events and the Big Data Analytics Research Group’s annual workshop.
Jul 2020 - Aug 2020
Technology Intern
Bright Network, London, UK
Technology internship as part of Internship Experience UK programme. Focused on Agile Software Development, Communications, Product Development Planning and Testing & Deployment for incorporating Facial Verification technology into existing banking apps.
Participated in Bright Network’s Internship Experience UK technology programme.
Worked on Agile software development, communication, product-development planning and management, and testing and deployment for adding facial verification to banking applications.
Mar 2018 - Sep 2018
Research Assistant
Amity University, Noida, India
Served as academic mentor and researcher, guiding undergraduate students in Electronics and Communication as well as Computer Science Engineering on their final year dissertations specialising in Artificial Intelligence for real-world applications, collaborating and publishing Scopus indexed papers in Computer Science & Engineering.
Mentored final-year Electronics and Communication Engineering and Computer Science Engineering students on AI applications, collaborating on Scopus-indexed research publications.
Worked with principal investigator Prof. Anu Mehra, contributing expertise in machine learning and deep learning to student projects.
Delivered talks on explainable AI and its real-world applications as part of panels on disruptive technologies.
Jan 2018 - Mar 2018
Research Intern
Tamkang University, Taipei, Taiwan
Research internship funded by the Ministry of Education, Taiwan as part of TEEP@India program. Designed a software application for recognizing emotions in human speech signals using data analytics, machine learning and signal processing.
Worked on machine learning, pattern recognition and signal processing in the TEEP@India research programme funded by Taiwan’s Ministry of Education.
Designed a software application for automated real-time recognition of emotions in speech, combining predictive machine learning and audio signal processing.
May 2017 - Jul 2017
System Verilog Trainee
Mentor Graphics (A Siemens Business), Noida, India
Selected among 30 students from across India for the Mentor Higher Education Program on Verification of Electronic Design and Systems using System Verilog. Designed projects including Universal Asynchronous Receiver Transmitter, RISC Microprocessors, and FIFO buffer.
Selected among 30 students across India for the Mentor Higher Education Program on verification of electronic designs and systems using SystemVerilog.
Used Verilog in projects involving a Universal Asynchronous Receiver Transmitter, 8-bit and 16-bit RISC microprocessors and a First-In-First-Out buffer.
Visiting appointments
Mar 2026 – Present
Distinguished Visiting Fellow
Loughborough University
Contribute to research embedding and industry impact in the Language & Data Research Group, including industry–academic collaboration and research impact development. Previously Visiting Academic, Mar 2025 – Feb 2026.
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Distinguished Visiting Fellow, March 2026 onwards
Voluntary appointment in the Language & Data Research Group recognising past and continuing contributions to AI embedding through publications, guest lectures and advice on industry–academic collaboration.
Visiting Academic, March 2025 to February 2026
Invited as an industry expert to support research embedding and impact creation for students and academics.
Provided voluntary insights at the intersection of AI, natural language processing and sustainability, with an emphasis on ethical, inclusive and internationally impactful research.
Delivered guest lectures and invited talks, advised on the Research Excellence Framework, and offered mentoring and career guidance to PhD students and researchers.
Oct 2023 – Present
Visiting Academic
University of Hull
AI and data science research collaboration, industry–academic knowledge exchange and careers mentoring.
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Research impact, teaching and careers
Provide voluntary career advice to students and collaborate on research dissemination with Hull’s Big Data Analytics Research Group.
Deliver guest lectures and Computer Science talks as an invited industry expert in AI/ML, particularly through DAIM.
Continue industry–academic collaboration following the KTP, helping Hull and Reckitt develop evidence for research impact case studies, including the Research Excellence Framework.
Education
Sep 2018 - Sep 2021
PhD in Computer Science
University of Hull, UK
Doctoral research in explainable AI and interactive decision support for wind turbine operations and maintenance.
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Doctoral research
Thesis: The Blessings of Explainable AI in Operations & Maintenance of Wind Turbines.
Research project: Autonomous Prediction and Scheduling of Operations and Maintenance for Offshore Wind Farms, within the Aura Innovation Centre and University of Hull PhD scholarship cluster.
Research group: Dependable Intelligent Systems / Big Data Analytics.
Supervision and examination
Primary supervisor: Dr Nina Dethlefs. Co-supervisor: Dr Alex Turner, University of Nottingham. Panel chair: Prof. Yiannis Papadopoulos.
External examiner: Dr James Carroll, University of Strathclyde. Internal examiner: Dr Yongqiang Cheng, University of Hull.
Sep 2018 - Jan 2021
PGDip Research Training
University of Hull, UK
Postgraduate Diploma in Research Training completed alongside the PhD programme.
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Research training programme
Completed 120 credits at Level 7 (Master’s level) through the Doctoral College’s Postgraduate Training Scheme, alongside doctoral research.
2014 - 2018
B.Tech in Electronics & Communication Engineering
Amity University, Noida, India
CGPA: 9.68/10. First Division with Distinction; University Topper and Gold Medallist in B.Tech Electronics and Communication Engineering.
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Academic achievement
First Division with Distinction, CGPA 9.68/10. University topper and gold medallist in Electronics and Communication Engineering.
Delivered a talk at the FMCG CQO Roundtable to quality leaders from Unilever, ELC Europe, Sanofi, Haleon, Galderma and Kenvue.
Apr 2024completed
"AI for Predictive Stability" and "AI for Continued Process Verification"
Global QC Excellence Forum at Reckitt
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Audience
Presented to Reckitt global QC/QA teams, including the SVP and Global Head of Quality, at the Global QC Excellence Forum.
Jan 2024completed
The Changing Face of AI Research: My learnings through evolution as an Early Career Researcher
Distinguished Alumni Talk, University of Hull
Feb 2023completed
ChatGPT Beyond the Hype
Global IT & Digital group, Reckitt
Jan 2023completed
Generalized Ice Detection on Wind Turbine Rotor Blades with Neural Style Transfer + Insights on Career Opportunities in Data Science & AI
Amity Global Forum, Amity University
Dec 2022completed
Generalized Ice Detection on Wind Turbine Rotor Blades with Neural Style Transfer
Christmas Workshop, BDA Research Group, University of Hull
Dec 2022completed
Decision Trees are all you need: Case study of AI in practice in the nutraceuticals industry
University of Hull
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Audience
Delivered to undergraduate students in data science and AI at the University of Hull.
Jan 2022completed
Unlocking the Potential of AI in Driving Digital Transformation at Reckitt
IT Learning Session, Reckitt
Jul 2021completed
Poster: Explainable AI for Operations & Maintenance of Wind Turbines
CIFAR DLRL Summer School
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Summer school presentation
Poster presented at the DLRL Summer School organised by CIFAR, Amii, Mila and the Vector Institute.
Mar 2021completed
Panel: Disruptive Technologies: Role in Education, Research & Future Employment
Alumni Meet, Amity University
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Contribution
Delivered “Explainable AI and its real-world applications” within the panel on AI, robotics, IoT and 5G at the Electronics and Communication Engineering alumni meet.
Aug 2020completed
Transparency, Interpretability and Data Availability: Key Challenges for Tackling Climate Change with AI
ETH Zurich Workshop
Apr 2020completed
Transparent, Accurate and Scalable AI for Intelligent Decision Support in O&M of Wind Turbines
Carnegie Mellon University (CMU) Symposium on AI and Social Good
Feb 2020completed
Autonomous Prediction and Scheduling of Operations & Maintenance for Offshore Wind Farms
Postgraduate Research Seminar, University of Hull
Awards & recognition
2026
British Data Awards: Data Leader of the Year (Partner) Finalist
British Data Awards
Named a finalist in the Data Leader of the Year (Partner) category.
External evaluation and review for the Next-Generation Internet Search project.
Journal Reviews
Peer reviewer across AI, engineering, energy and health, including The Lancet Digital Health, Expert Systems with Applications and Artificial Intelligence Review.
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Journals reviewed for
EURASIP Journal on Audio, Speech, and Music Processing
Expert Systems with Applications
The Journal of Supercomputing
The Lancet Digital Health
Applied Artificial Intelligence
Cell Reports Physical Science
Renewable and Sustainable Energy Reviews
Journal of Hydrometeorology
Artificial Intelligence Review
Energy and AI
Technology | Architecture + Design
Energies
Sensors
Journal of Marine Science
Computer Modeling in Engineering & Sciences
Annals of Biomedical Engineering
PeerJ Computer Science
Conference reviewing and programme committees
AI, energy and engineering conferences
Main-conference reviewing includes ICLR (2022–2024), NeurIPS (2022–2023) and ICML (2023). Programme committee member/reviewer for the 40th AAAI and 40th NeurIPS conferences, PAIS 2025 alongside ECAI, and EIA Nordic 2025. Additional reviewing includes IEEE IJCNN/FUZZ-IEEE/WCCI, IEEE SPIN, CSAE, ASME Energy Sustainability and ECIS.
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Main conferences and programme committees
Programme committee member and reviewer for the 40th NeurIPS conference, Sydney, and the 40th AAAI conference, Singapore.
Programme committee member and reviewer for PAIS 2025 alongside ECAI in Bologna, and EIA Nordic 2025 in Stockholm.
Main research-track reviewer for ICLR 2022, 2023 and 2024; NeurIPS 2022 and 2023; and ICML 2023.
ICLR 2022 reviewing followed selection through its Reviewer Mentorship Program.
Reviewer for IJCNN and FUZZ-IEEE as part of IEEE WCCI 2022.
Reviewer for IEEE SPIN 2021, 2023 and 2024; CSAE 2021; ASME Energy Sustainability 2021; and ECIS 2019.
2023
Technical Committee Member: NAWEA/WindTech
North American Wind Energy Academy
Technical committee service for the WindTech conference.
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Conference context
Technical committee service for NAWEA WindTech 2023, supported by the US Department of Energy Wind Technologies Office and wind-energy research organisations including NREL.
2020–2025
Climate Change AI workshop committees and reviewing
Tackling Climate Change with Machine Learning
Programme committee and reviewing contributions to workshops at ICLR, ICML and NeurIPS, separate from main-conference reviewing.
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Workshop service by event
ICLR Tackling Climate Change with Machine Learning workshop: programme committee member/reviewer in 2020, 2023, 2024 and 2025.
ICML Tackling Climate Change with Machine Learning workshop: programme committee member/reviewer in 2021 and 2023.
NeurIPS Tackling Climate Change with Machine Learning workshop: programme committee member/reviewer in 2020 and 2021; reviewer in 2022.
Professional memberships
MIET
Member, Institution of Engineering and Technology
MIEEE
Member, Institute of Electrical and Electronics Engineers
MBCS
Member, British Computer Society (BCS, The Chartered Institute for IT)
CEng
Chartered Engineer, Institution of Engineers (India).
Isaac Newton Institute
Junior Member, Isaac Newton Institute for Mathematical Sciences, Cambridge
AMIE
Associate Member, Institution of Engineers (India)
Machine Intelligence Labs
Member, Machine Intelligence Research Labs (USA)
IET TPN
Executive Committee Member, IET Multimedia Communications Technical Professional Network (2016-2019)
UNA-UK
Student Member, United Nations Association UK
AISB
Student Member, Society for the Study of Artificial Intelligence and Simulation of Behaviour
Indian Science Congress
Life Member, Indian Science Congress Association
Press & media
Forbes 30 Under 30 Europe 2022
Forbes Featured in the Manufacturing & Industry category of the Forbes 30 Under 30 Europe list for AI innovation in manufacturing and energy.
Jun 2022
AI’s Benefit to Solar and Wind Power Isn’t Hot Air
IEEE Spectrum
Interview contribution on AI for renewable energy, trustworthy decisions and practical adoption.
Developing countries are being left behind in the AI race – and that’s a problem for all of us
The Conversation
Coauthored with Nina Dethlefs on unequal AI adoption and its wider implications; republished by the World Economic Forum.
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Republication reach
Republished by Times of India, Asia Times, Economic Times, Irish Tech News, Pakistan & Gulf Economist, Kathmandu Post, Yahoo News, Pehal News, Udaya Vani, and NewsToday editions in Leicester, Bristol, Sheffield and Hull.
Fully funded £48,000 Computer Science PhD scholarship for “Autonomous Prediction and Scheduling of Operations and Maintenance for Offshore Wind Farms”, awarded directly after undergraduate study.
May 2023
Amii Upper Bound Funding
Alberta Machine Intelligence Institute
Full funding of CAD $3,000 to attend Upper Bound.
Oct 2021
EU COST Action LITHME Training School
EU COST Action Research Network
Approximately €1,000 in full funding, including travel and accommodation, for the Language In The Human-Machine Era training school in Ávila, Spain. Selected among 53 funded researchers globally.
Jul 2021
CIFAR DLRL Summer School
Doctoral College, University of Hull
Full funding to participate in the virtual CIFAR Deep Learning–Reinforcement Learning Summer School.
Aug 2020
AI for Good Foundation PhD Presenter Award
AI for Good Foundation
Full funding through a PhD presenter award for the KDD Fragile Earth: Data Science for a Sustainable Planet workshop.
2020
Nudge Global Impact Challenge
Nudge Netherlands and partner sponsors
€4,500 scholarship for the eight-month online personal development programme.
Jul 2020
IEEE Computational Intelligence Society
IEEE Computational Intelligence Society
Early-career researcher partial grant towards registration for IJCNN, Glasgow.
Dec 2019
Microsoft Research & DeepMind Travel Grant
Microsoft Research and DeepMind
US $1,000 travel grant to present research at the Tackling Climate Change with Machine Learning workshop at NeurIPS in Vancouver.
Nov 2019
Aura Innovation Centre
Aura Innovation Centre
£150 funding to present research at WindEurope Offshore in Denmark.
2019
Power Available Hackathon Funding
University of Hull
£400 funding to participate in the Power Available Hackathon organised by ORE Catapult and Scottish Power Renewables in Glasgow.
Jan 2019
NLDL Research Presentation Funding
University of Hull
£1,300 funding to present research at the Northern Lights Deep Learning Workshop in Norway.
Jan–Mar 2018
Ministry of Education, Taiwan
Ministry of Education, Taiwan
US $1,800 scholarship for research at Tamkang University through TEEP@India.
2014–2018
Amity University Merit Scholarship
Amity University
£6,000 merit scholarship for the full B.Tech in Electronics and Communication Engineering.
Green Talents Research Stay Funding
German Federal Ministry of Education and Research
Awarded €5,250 for a research stay of up to three months in Germany through the Green Talents Award.
Mentoring & community
Careers Mentor
University of Hull
Providing career guidance and mentoring to aspiring data scientists and AI professionals
2022–2023
Elected Postdoctoral Research Representative: University Research Committee
Faculty of Science and Engineering, University of Hull
Elected representative of postdoctoral researchers on the University Research Committee.
Apr 2022
ICLR 2022 AI4Renewables Social Organiser
International Conference on Learning Representations
Led the two-day “Facilitating a smoother transition to Renewable Energy with AI” social, featuring an industry–academic expert panel and a community-building event.
Diversity, Equality and Inclusion Committee Member
IEEE UK & Ireland Section
Committee member in the section’s DEI group.
Undergraduate Student Mentoring
Amity University
Voluntary academic mentor to 3–4 undergraduate dissertation students working on AI applications, alongside main supervisor Prof. Anu Mehra.
Medium / Towards Data Science Contributor
Regular author publishing articles on AI, ML, and data science topics
The Good AI Contributor
Contributing articles on AI applications and responsible AI
Feb 2018
Student Organiser: IEEE SPIN 2018
Amity University
Student organiser of the 5th IEEE International Conference on Signal Processing and Integrated Networks.
Published Author
Author of "Thoughts of a Young Man" (Educreation Publishing, Sep 2017)
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Book content
Thoughts of a Young Man is a collection of short poems, personal reflections and inspirational quotations, published by Educreation Publishing in September 2017.
2017–2018
Entrepreneurship Cell Campus Ambassador
Indian Institute of Technology Kanpur
Campus ambassador for the Entrepreneurship Cell during undergraduate studies.
2014–2018
Social and human values volunteering
Amity University
Volunteered in university social and human values events.
Continuing professional development
Nov 2023
Cambridge Business Administration and Management CPD Course
Institute of Continuing Education, University of Cambridge
Short course covering market and customer insight, product definition and scoping, financial planning and funding, team building, sales and marketing.
May – Aug 2020
Oxford Artificial Intelligence Programme
Saïd Business School, University of Oxford
Professional certificate in AI, business applications and organisational implications. Final grade: 85%.
Aug 2020
Oxford Machine Learning Summer School
Saïd Business School, University of Oxford and CIFAR
Participated in the summer school with a focus on machine learning in medicine.
Nov 2021 – Mar 2022
KTP management, finance and change leadership training
Innovate UK / Ashorne Hill Management College
Management and leadership modules covering stakeholder communication and influence, change, accounting and finance for project managers.
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Modules and practical learning
Management and leadership modules in November 2021 and March 2022 addressed change, stakeholder communication, influence and engagement.
The February 2022 finance module covered accounting techniques, business profits, and company assets and liabilities for project managers.
Training was funded and organised by Innovate UK; management modules were held at Ashorne Hill Management College.
Mar 2026
Oxford Science and Innovation Summit
University of Oxford Mathematical Institute
Attended the summit bringing together startup leaders and investors.
Mar 2025
Microsoft AI Partner Day
London
Attended the industry event sponsored by NVIDIA.
Nov 2020
ASML PhD Master Class
ASML
Selected as an invited PhD participant through a competitive selection process.
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Selection
Invited following a competitive selection process among approximately 70 final-year PhD students from European universities.
Azure Machine Learning Development: Part 1
LinkedIn Learning (Jan 2025)
Developing Explainable AI (XAI)
Duke University / Coursera (Nov 2024)
Build AI Aptitude in Your Organization as a Leader
LinkedIn Learning (Feb 2024)
Generative AI - From Big Picture to Implementation
Udemy (Jan 2024)
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Credential details
Completed “Generative AI - From Big Picture, to Idea, to Implementation” through Udemy.
Applied AI for IT Operations (ITOps)
LinkedIn Learning (Oct 2023)
Learning Industrial Automation
LinkedIn Learning (Oct 2023)
Career Essentials in Generative AI
Microsoft / LinkedIn (Jul 2023)
Strategy for UX Design
LearnTube (May 2023)
Automatic Machine Learning with H2O AutoML
Coursera (Jan 2023)
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Credential details
Completed “Automatic Machine Learning with H2O AutoML and Python” through Coursera.
Savvy Fellowship Program
Savvy Fellow (Apr 2021)
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Entrepreneurship development
Certified as a Savvy Fellow through the virtual programme for aspiring and early-stage entrepreneurs.
Quick Start to Wolfram Tech
Wolfram U (Apr 2021)
Your Guide to the Pharmaceutical Industry
Udemy (Apr 2021)
Introduction to TensorFlow for AI, ML and DL
deeplearning.ai / Coursera (Feb 2021)
LinkedIn Skill Assessments
Python, ML, HTML, Microsoft Word
Docker for Data Scientists
LinkedIn Learning (Jul 2020)
Introduction to Neo4j
Neo4j GraphAcademy (May 2020)
The Digital Teacher
University of Hull (May 2020)
Certified Peer Reviewer
Publons Academy / Web of Science (Feb 2020)
The Digital Researcher
University of Hull (Jun 2019)
Jisc Discovery Tool
Jisc (Jun 2019)
Passport to University Teaching
University of Hull (Mar 2019)
Open Researcher
University of Hull (Oct 2018)
MATLAB Onramp
MathWorks (Sep 2018)
Programming Foundations with JavaScript, HTML and CSS
Duke University / Coursera (Mar 2018)
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Course distinction
Completed the Duke University course through Coursera with Honors.
Learning MATLAB
LinkedIn Learning (Feb 2018)
Programming for Everybody - Getting Started with Python
University of Michigan / Coursera (Aug 2017)
Verification of Electronic Design and Systems using Systems Verilog
Mentor Graphics / Siemens (Jul 2017)
Ericsson Professional Certification (EXCEL) in IP and Telecom Basics
Ericsson (Feb 2017)
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Training context
Completed during the Career Connect programme at Amity University, Noida, in February 2017.
Begin Robotics
University of Reading / Future Learn (Feb 2017)
C++: A General Purpose Language
Microsoft Virtual Academy (Oct 2016)
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Credential details
Completed “C++: A General Purpose Language and Library Jump Start” through Microsoft Virtual Academy.
C# Fundamentals for Absolute Beginners
Microsoft Virtual Academy (Jun 2016)
Introduction to Project Management
University of Adelaide / edX (Apr 2016)
Introduction to Python for Data Science
Microsoft / edX (Mar 2016)
Lean Six Sigma Yellow Belt
Canopus Business Management Group (Dec 2015)
Introduction to Cloud Computing
ALISON (2015)
IT for Business Success
HP (2015)
Customer Relationship Management
HP (Dec 2015)
Feb 2024
AI and Real Life: Not Your Usual Take
LinkedIn Live / Tea Mustac
Attended an event on AI regulation, including the EU AI Act, ISO/IEC 42001:2023 and FTC expectations.
Feb 2024
Google Gemini AI Model Workshop
Google Cloud at Reckitt
Attended the workshop delivered by Google Cloud.
Nov 2020 – May 2021
University of Hull e-Mentoring Programme
University of Hull
Completed the programme supporting the transition from study to professional workplaces, engaging with a university alumnus in the IT industry in Japan.
Jan 2021
ASML SW Masterclass: Beyond Accuracy, Fairness in Machine Learning
ASML
Participated in the third ASML SW Masterclass, including a talk delivered by IBM Netherlands.
Sep 2021
Meeting with an EurAI Fellow
European Conference on Artificial Intelligence
Participated in the Meeting with an EurAI Fellow event.
Dec 2019
Energy Industry R&D Discussion
Aura Innovation Centre, Hessle
Participated in an R&D discussion with Chubu Electric and Jera Power.
2019
Power Available Hackathon
ORE Catapult and Scottish Power Renewables
Represented the University of Hull in a team of two at the Glasgow Science Centre hackathon.
Mar 2019
windPRO One-Day Course
EMD windPRO / University of Hull
Attended the windPRO course held at the University of Hull.
Jan 2019
GPU Programming using CUDA Workshop
University of Hull
Participated in the GPU programming workshop.
Jan 2019
Deep Learning Winter School
University of Hull
Participated in the winter school.
Oct 2018
Writing Critically Webinar
Library Skills Team, University of Hull
Participated in the research-writing webinar.
Dec 2021
Introduction to LIMS Data Structure
Reckitt R&D Systems
Completed training with the R&D Systems Team Leader on Laboratory Information Management System data structures.
Dec 2021
Stability Induction
Reckitt R&D
Completed training with the R&D Stability Coordinator.
Jul 2021
CIFAR Deep Learning–Reinforcement Learning Summer School
CIFAR, Amii, Mila and the Vector Institute
Selected through a competitive application process; participated in the summer school covering research developments and applications in deep learning and reinforcement learning.
Technical skills
Programming
Python and MATLAB (proficient); C and C++ (intermediate); R and Java SE/Core Java (basic).
Data Science Frameworks
TensorFlow, Keras, scikit-learn, pandas and Matplotlib (proficient); Seaborn and NumPy (intermediate); PyTorch (basic).
AI Methods
Machine learning, deep learning, regression, classification, natural language generation, transfer learning, supervised learning and causal inference (proficient); NLP, neural machine translation and data-to-text generation (intermediate); few-shot and unsupervised learning (basic).
Machine Learning Models
Decision trees, random forests, linear/logistic regression, gradient boosting including XGBoost, and support vector machines (proficient); naïve Bayes and k-nearest neighbours (intermediate); autoencoders (basic).
Deep Learning Models
Artificial and recurrent neural networks, attention, sequence-to-sequence models and transformers (proficient); convolutional and dilated networks, and large language models including GPT-2/3 and BERT (intermediate); graph neural networks (basic).
Data Analytics and Knowledge Engineering
Information extraction, knowledge representation and knowledge engineering (proficient).
Data Preparation
SMOTE and other oversampling methods, encoding, imputation, feature scaling and normalisation (proficient); outlier detection (intermediate).
Natural Language Analytics
Paraphrase generation and topic modelling (proficient); text summarisation, semantic labelling and topic identification (intermediate); named-entity recognition and clustering (basic).
Knowledge Graphs and Ontologies
Neo4j graph database development and Cypher (proficient); graph data analytics (intermediate).
Application Deployment and Cloud
Microsoft Azure Machine Learning and Azure App Services; high-performance computing (intermediate); Docker (basic).
Responsible AI Practices
Bias mitigation, fairness, accountability and explainable AI (proficient); privacy, security, reliability and safety (intermediate).
Software Engineering
Large-scale software projects, design and implementation (proficient); testing (intermediate).
Documentation and Web Development
LaTeX (proficient); HTML and CSS (intermediate).
Engineering and Productivity Tools
Control systems and digital electronics; Microsoft Office and macOS iWork (proficient).