MSc Data Science @ University of Bristol (Russell Group, 2025) | AI/ML Research Support – NIHR-funded NHS Stroke Rehab | Ex-Unilever Data Science Intern | End-to-end ML & AI pipelines with measurable impact

Data Scientist & ML Engineer building production-grade, cloud-native ML systems: data pipelines, feature engineering, orchestration (Airflow), deployment, monitoring, drift detection, and governance. Hands-on across healthcare, industrial, and commercial domains — leveraging predictive modelling, time-series forecasting, NLP, deep learning, generative AI, and XAI (SHAP/LIME).

Tech Stack: Python, SQL, TensorFlow/Keras, Scikit-learn, Airflow, Docker, Azure/AWS, CI/CD, Flutter integration.
Impact: Process efficiency gains up to 40%, energy savings 12–15%, decision-ready clinical and operational insights.

📍 London-based | UK Graduate Visa eligible | Open to hybrid/remote roles in Data Science, ML/AI Engineering, and MLOps

Passionate about AI for social good — developing production-grade AI for NHS stroke rehabilitation with personalized exercise recommendations, LLM pipelines, generative models, and user-centered co-design. Bridging ML research, software engineering, and clinical impact, with prior experience in cross-functional analytics at Unilever.

• MSc Data Science, University of Bristol (2024–2025) – Distinction track (AI, NLP, Bayesian methods, visual analytics)
• BTech Computer Science Engineering, DIT University (2020–2024) – First Class Honours (85.4%)

AI/ML Research Support & Software Engineer – NIHR Stroke Rehabilitation Project, University of Bristol (Apr 2025–Present)

• Led development of NIHR-funded stroke-rehab app, integrating predictive personalization, Clinical-T5 NLP, diffusion/generative models, and SHAP/LIME explainability.
• Designed GDPR-compliant, cloud-native data pipelines with Python, SQL, Airflow, Azure/AWS; ensured production-ready ML workflows with monitoring and drift detection.
• Conducted user-centered co-design workshops with patients and clinicians; translated feedback into actionable model improvements.
• Lead author of HEALTHINF 2025 paper presenting applied clinical AI and production-ready ML pipelines.

Data Science & Analytics Intern – Unilever (Hindustan Unilever Ltd., 2024)

• Delivered 14+ analytics projects across supply chain, manufacturing, and safety: Python optimisation for 250+ SKUs (40% changeover reduction), ML forecasting (15–20% efficiency gains), energy dashboards (12–15% usage reduction).
• Automated supply chain and energy-management workflows using Python, SAP, Power BI/Tableau; consolidated 29K+ safety logs (71% reduction).
• Built scenario- and resource-optimisation models to support staffing, cost, and operational decisions.

Other Experience: Sapienza University research (protein residue prediction), Salesforce/Infosys internships (RPA, NLP), Flutter full-stack projects

• Lead Author: “Personalised Stroke Rehabilitation: An AI Pipeline for Exercise Programmes Using a Co-Designed Decision Support Tablet Application” — HEALTHINF 2025 (peer-reviewed, NIHR-backed)

• NHS Stroke Rehab AI App – Flutter + ML personalization, clinician/patient co-design, production deployment
• EMI Surrogate Modelling – Physics-informed neural nets, multi-head attention, R² >0.95, SHAP analysis (thesis)
• UK Census Visual Analytics – Bayesian imputation, UMAP/t-SNE/KMeans, interactive Tableau dashboards
• Peri-Operative Time-Series Forecasting – LSTMs/CNNs/Transformers, distributed GPU scaling
• Protein Residue Prediction (Sapienza) – CIRNet + feature engineering → 78% accuracy

• McKinsey Forward Program (2025)
• Bristol PLUS Award – Leadership & Employability
• BILT Student Research Festival – Highly Commended & Funding
• AWS Academy Graduate – Cloud & ML
• Infosys AI/NLP/Deep Learning/RPA
• Salesforce Superbadges

• NIHR ABI Dissemination Conference, London (2025)
• HDRN Workshop (2025)
• ETH Oxford Hackathon Participant (2025)
• Postgraduate Representative – Bristol Data Science Society

Professional Bharatanatyam dancer | Carnatic vocalist | Marathon runner — discipline, creativity & resilience fuel my work

✨ Open to graduate/junior-mid roles in Data Science • ML/AI Engineering • MLOps — healthcare, fintech, or impact-driven tech
Connect: LinkedIn | thrisharajkumar5@gmail.com