02 / BACKGROUND

A statistical foundation.
A research mindset.

From mathematics and statistics to infectious disease modelling, my work connects methodological rigour with questions in public health.

01 / SKILLS & METHODS

Tools for asking better questions.

01

Statistical modelling

Bayesian hierarchical and state-space models, GAMs, regression, survival analysis, time series, hypothesis testing, and experimental design.

BAYESIAN INFERENCEGAMsTIME SERIESSPATIOTEMPORAL ANALYSIS
02

Machine learning & AI

Supervised and unsupervised learning, tree-based methods, support vector machines, deep learning, transformer-based NLP, and hybrid statistical–ML frameworks.

XGBOOSTRANDOM FORESTPYTORCHTENSORFLOW / KERAS
03

Computational tools

Reproducible analysis and predictive modelling for health and environmental data systems.

PYTHONRPyMCSPSSTABLEAUPOWER BI
02 / RESEARCH EXPERIENCE

Across disciplines and borders.

AUG 2026 — PRESENT

Project Research Associate

Bagchi School of Public Health · Ahmedabad University

Measles transmission patterns under migration at the subnational level. A Catalyst Grant project supported by the Measles Analytics Hub, Imperial College London.

2025 — 2026

Research Assistant

College of Health · Lehigh University

Bayesian hierarchical and state-space modelling of influenza surveillance, forecasting, and reproducible Python research pipelines.

DEC 2024 — MAY 2025

Research Assistant

Dia-Heals · Public Health Innovations and Research Centre

Clinical risk modelling for diabetic lower limb amputation using machine learning and SHAP-based interpretation.

MAY — SEP 2024

Research Intern

International Student Project Programme · Phuket Rajabhat University

Climate–health modelling of nonlinear environmental effects on COVID-19 transmission.

FEB — AUG 2025

Instructor · Applied Data Science

International Student Project Programme

Mentoring international students in statistical modelling and machine learning through lectures and case studies.

03 / EDUCATION

Grounded in mathematics and statistics.

2022 — 2024

M.Sc. Statistics

Mahatma Gandhi University · Kottayam, Kerala

School of Mathematics and Statistics. Master’s research explored a hybrid statistical–ML framework for malware detection.

2019 — 2022

B.Sc. Mathematics

Mahatma Gandhi University · Kottayam, Kerala

04 / ACADEMIC COMMUNITY

Sharing knowledge and learning together.

RECOGNITION

Special Student Award

School of Mathematics and Statistics · Mahatma Gandhi University

Recognised for academic and research potential and selection for international research internships.

PRESENTATIONS & TEACHING

Research beyond the page

ICMS 2025 · ESPOCH 2024 · ISPP 2025

Presentations on environmental risk and climate–COVID modelling, and a technical session on data science for pandemic preparedness.

SERVICE & LANGUAGES

Peer review & communication

Peer reviewer for Springer Nature, Franklin Open, and Wiley journals.

English: professional proficiency · Malayalam: mother tongue · Hindi: intermediate.

KEEP EXPLORINGResearch & projects ↗