Resume

Technical Skills

Programming: Python (Advanced), Matlab (Advanced), R (Intermediate), MySQL (Intermediate)

Modelling: Finite Differences, Finite Elements, PDE Modelling

Tools: GitHub, Raspberry Pi, LaTeX

Interests

Numerical Modelling, Biomathematics, Scientific Computing

Languages

English (Proficient), Tamil (Native), Hindi (Fluent)

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Education

MSc Mathematical Modelling and Scientific Computing — University of Oxford (2024–2025)

Modules: Numerical Linear Algebra, Scientific Computing, PDE Modelling, Optimisation.

Dissertation: PDE-based tumour–ECM interaction model with nonlinear diffusion; finite difference and finite element simulations.

BSc Mathematics — University College London (2021–2024)

First Class Honours; specialised in Biomathematics and Computational Methods.

Key modules: Applied Differential Equations, Numerical Methods, Mathematical Biology.

High School — Lawrence School, Lovedale (2011–2020)

Graduated with 97%.

Research Experience

Dissertation – Tumour Growth with ECM, University of Oxford (Apr 2025–Present)
Developed PDE model of ECM–tumour dynamics; implemented FD/FE solvers; analysed invasion speeds under parameter sweeps.

FISTA–PALM for Sparse Optimisation, University of Oxford (Jan 2025–Apr 2025)
Enhanced PALM for nonconvex matrix factorisation with Nesterov acceleration; observed faster convergence in benchmarks.

Cycling Breakaway Strategy Modelling, University of Oxford (Jan 2025–Apr 2025)
Built optimisation framework with rider-specific power–duration constraints; validated on race data, outperforming generic strategies.

Mary Lister McCammon Fellowship, Imperial College London (Jul 2024–Sep 2024)
Worked in Prof. Timo Betcke’s group on Krylov subspace methods for low-rank approximations; improved efficiency for large problems.

Internships

Finance Analyst Intern, MCD Capital (Remote) (Summer 2024)
Developed commodity clustering model; refined grouping accuracy over standard methods.

ML Intern, WhatsInIt.Tech (Remote) (Summer 2023)
Implemented SVM and logistic regression for predictive maintenance; built data preprocessing pipeline.

Operations Intern, Valory AG (Remote) (Jul–Sep 2022)
Coordinated logistics and supported AI/blockchain research projects.

Projects

Face Recognition on Raspberry Pi (2025–Present)
OpenCV-based facial recognition; integrating FISTA–PALM and CNNs for improved classification.

Robot Buggy Project (2021)
Line-following robot (Raspberry Pi, ultrasonic sensors); extended to follow mobile device signal.

Bike Share Data Analysis (2018)
Python CLI to analyse bikeshare usage patterns.