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University of Moratuwa
Data Scientist
June 22, 2026 – Present
shrinkagepredictionapp
May 3, 2025 – May 3, 2025
shrinkagepredictionapp — GitHub repository
View Projectapparel-product-spec-design-agent-flow
February 4, 2025 – February 4, 2025
This project uses a multi-agent workflow powered by Crew AI to conduct comprehensive market research, analyze future apparel trends, and generate innovative product concepts. By integrating Gemma2-9B-IT from Groq, the project maintains high inference efficiency while delivering actionable insights.
View Projectvegetable-and-fruit-prices-time-series-forecasting
June 15, 2024 – June 15, 2024
vegetable-and-fruit-prices-time-series-forecasting — GitHub repository
View Projectsql-natural-language-query-RAG-app
June 4, 2024 – June 4, 2024
This is a application developed to chat with your database. You may me a data analyst or any other data guy who need to write SQL queries every time to interact with your company SQL database. How if you can chat with your database with natural language chats. This RAG application will do it for you.
View ProjectUoM_MapReduce-vs-Spark
March 3, 2024 – March 3, 2024
UoM_MapReduce-vs-Spark — GitHub repository
View ProjectNovozymes-Enzyme-Stability-Prediction
November 29, 2022 – May 20, 2023
Thermostability Prediction: Using a linear regression model, this project aims to predict enzyme variant thermostability based on sequence, pH, and other factors. Valuable insights for protein engineering and biotechnology.
View ProjectOnline-Retails
August 11, 2021 – September 14, 2023
This project analyzed a UK-based online retail dataset, including data cleaning, exploration, scaling, and K-means clustering. The goal was to cluster data points into meaningful groups using silhouette score for optimal cluster selection.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. The diversity of projects, from enzyme stability prediction to retail analytics and LLM applications, indicates a broad interest in applying data science across different domains. However, the lack of professional experience and team-based projects makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is 0, and there are no psychometric or English test results available.