MSc Data Science @ University of Bristol ’25 (Russell Group) | AI/ML Research Support – NIHR | Ex-Unilever | Computer Science Engineer | Data Science & Analytics | Python • R • SQL • Machine Learning • AI
Hi, I’m Thrisha Rajkumar, an MSc Data Science student at the University of Bristol with a passion for AI, machine learning, and socially impactful data projects.
Currently, I work as a Research Support Assistant on an NIHR-funded project with the NHS, co-developing AI algorithms and a cross-platform rehabilitation app for stroke patients.
I bring experience across healthcare AI, socio-economic analytics, cloud systems, and full-stack development.
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MSc Data Science – University of Bristol (2024–2025)
Focus: AI, ML, NLP, Bayesian Modelling, Visual Analytics -
BTech Computer Science – DIT University (2019–2023)
Distinction with Honours | Top 5% of cohort
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🏢 Data Science Intern – Unilever (2024)
Delivered 15+ ML initiatives in supply chain, forecasting, and consumer analytics. -
🏥 Research Support – NIHR/NHS Stroke Rehabilitation Project (2025)
Developed AI-powered stroke rehabilitation pipeline with clinician co-design. -
🧪 Research Collaboration – Sapienza University, Rome (2023)
Applied neural networks (CIRNet) for protein residue prediction (↑ accuracy to 78%). -
🏫 Infosys & Salesforce Projects (2022–2023)
Built RPA workflows, NLP models, and completed multiple Salesforce Superbadges.
- Bayesian Ridge Regression for imputation across 348 LADs
- Dimensionality reduction (UMAP, t-SNE) + KMeans clustering
- Interactive Tableau dashboards for trends in education, employment & migration
- Multi-output regression with ANN surrogate models
- Achieved R² > 0.90 across 13 EMI targets
- Reduced EMI evaluation runtime from hours → seconds
- Cross-platform Flutter app (iOS, Android, Web)
- AI/ML-powered personalisation of routines
- Clinician & patient co-design for real-world impact
- CIRNet for protein residue prediction
- Accuracy boosted to 78% using PCA + hydropathy features
- 🎓 McKinsey Forward Program (2025)
- 🥇 Bristol PLUS Award
- Leadership & Employability Skills
- 🧪 BILT Research Award – Highly Commendable (University of Bristol)
- ☁️ AWS Academy Graduate – Cloud Foundations
- 🔑 Salesforce Superbadges – LWC, Apex, API Integration
- 🤖 Infosys Certifications – AI, NLP, Deep Learning, RPA
- 🧠 NIHR ABI Conference (London, 2025) – Stroke Rehab AI
- 📊 HDRN Workshop (Bristol, 2025) – Clinical AI Applications
- 💡 Oxford Hackathon (2023) – AI for Sustainability
- 🌍 London Tech Week (2023) – Future of AI in Healthcare
Outside of research and data, I’m a professional Bharatanatyam dancer, Carnatic vocalist, and marathon runner — bringing creativity, discipline, and endurance into every project I take on.
✨ Always open to collaborations, research opportunities, and graduate roles in AI, Data Science, and Analytics.