TR
#OPEN_TO_WORK • She/Her

Thrisha Rajkumar

MSc Data Science @ University of Bristol ’25 • AI/ML Research Support (NIHR/NHS) • Python · R · AWS · Tableau · Flutter

TensorFlow scikit-learn Bayesian Modelling Tableau AWS Flutter
Thrisha Rajkumar
McKinsey Forward
Global Program ’25
Bristol PLUS Award
Employability ’25

About

I’m a data scientist focused on building socially impactful AI. At the University of Bristol, I support an NIHR/NHS project co-designing an AI algorithm and a cross-platform Flutter app for personalised stroke rehabilitation. My background spans healthcare analytics, socio-economic modelling with UK census data, and physics-informed deep learning for EMI prediction.

Featured Projects

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UK Census Socio-Economic Analysis

UK Census Socio-Economic Analysis

Bayesian Ridge imputation for 31 LADs, UMAP/t-SNE + KMeans, interactive Tableau dashboards across 2011 vs 2021.

Bayesian UMAP Tableau
EMI Surrogate Modelling

EMI Surrogate Modelling

Multi-output ANN with physics-informed features; R² > 0.90 on 13 EMI targets; seconds-level evaluation.

TensorFlow Multi-Task Optuna
NIHR/NHS Stroke Rehab App

NIHR/NHS Stroke Rehab App

Flutter app + AI personalisation, co-designed with clinicians and patients for inclusive rehab routines.

Flutter Firebase NHS/NIHR

Highlights

McKinsey Forward Program (Global)

Oct–Dec 2025 • Leadership & future-skills program.

Speaker — NIHR ABI Conference, London

Sept 2025 • Presented stroke rehab AI work.

Bristol PLUS Award

2025 • Employability & leadership recognition.

Skills

ML / AI

TensorFlow, Keras, scikit-learn, NLP (BERT, BiLSTM), Bayesian modelling

Data

Pandas, NumPy, ETL, SQL, Power Automate, SAP integration

Cloud / DevOps

AWS (EC2, Lambda, S3, DynamoDB), Docker, Node-RED, Grafana

Viz / Apps

Tableau, Power BI, Matplotlib, Seaborn, React, Angular, Flutter

GitHub Stats

GitHub stats Top languages Streak Activity graph

Let’s Connect

Open to graduate roles, research collaborations, and data projects with social impact.