I map chaos into clarity — turning real-world datasets into decisions that matter.
Python. SQL. Power BI. DAX.
"Data without story is just noise. I build the bridge between both."
I'm Chamathsara Chamodie Marasingha — a data science undergraduate at General Sir John Kotelawala Defence University reading for a BSc in Applied Data Science Communication.
Holding the Microsoft Certified Power BI Data Analyst Associate and Azure Data Fundamentals credentials, — always with one goal: making complexity genuinely useful.
Replaces 2–3 weeks of manual supplier due diligence with a 60-second autonomous report. Searches live web data across four risk dimensions, scores suppliers 0–10, generates PDF reports and emails procurement managers — with hourly background re-evaluation.
Uploads any government policy PDF, applies NLP preprocessing (tokenisation, stopword removal, lemmatisation), generates structured summaries, and adapts policy into scenario-specific drafts for Education, Healthcare, Rural Development, and custom stakeholders. Tested on Sri Lanka's National AI Strategy 2028.
Interactive Power BI dashboard transforming raw supply chain data into KPIs: revenue & profit trends, inventory turnover, supplier performance, shipment efficiency, and customer purchasing patterns.
Segments customers by Recency, Frequency, and Monetary value to identify loyal, new, at-risk, and lost customers. Includes demographic insights, world map of sales by country, and granular transaction-level data for marketing ROI.
Analyzes UN SDG 2 indicators for global food insecurity, malnutrition, and agricultural productivity using SQL Server and Power BI.
SQL + Power BI dashboard analyzing EPC data for Manchester (2014–2024) — reveals CO₂ patterns, energy costs, and efficiency trends across property types.
Evidence-based public sector analytics applying SQL and Power BI to analyze UK sponsorship trends, supporting migration and education policy decisions.
K-Means Clustering in R to identify three airline clusters by delay performance using Dec 2019–2020 BTS data, surfacing key delay causes and scheduling patterns.
KNN-based crop recommendation system achieving 96% accuracy using soil nutrients and climate data, supporting sustainable and data-driven farming decisions.
Interactive dashboard visualizing 2022–2023 crime trends across West, South, and North Yorkshire — identifying regional hotspots, crime types, and seasonal patterns.
Analyzes 2020–2023 London property transaction data — uncovering price peaks, property type trends, seasonal patterns, and geographic hotspots.
Analyzes TFWP & IMP immigration data (2018–2024) revealing top occupations, sector reliance on global talent, and post-pandemic recovery patterns.
Public health dashboard visualizing low birth weight trends, alcohol-related risks, cancer incidences, fertility and stillbirth rates, and injury patterns using real-world data from data.gov.au.
Whether it's a data analytics internship, or an exciting BI project — I'm always open to new challenges and interesting conversations.