Machine learning for flood risk in Sri Lanka
Final-year Data Science undergraduate at SLIIT. I build forecasting models on real environmental data — and the dashboards that make them usable. Looking for a data science / machine learning internship.
I am in my final year of a BSc (Hons) in Information Technology specialising in Data Science at the Sri Lanka Institute of Information Technology (SLIIT), where I hold a CGPA of 3.56. My undergraduate research is on satellite-based flood risk modelling for Sri Lanka; I own the predictive risk model and the decision dashboard built on top of it.
Alongside my degree I work as Purchasing Manager at Sillara Agri Tech, where I replaced a manual, multi-step daily procurement pricing process with an automated pipeline and built the margin logic behind it.
Python, R, SQL, JavaScript, Java · scikit-learn, pandas, NumPy, time-series forecasting, feature engineering, model validation · Power BI, Matplotlib · React, Node.js, Express, PostgreSQL, Supabase, Git · LLM APIs, prompt engineering, n8n