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Data Science with 2+ years in Machine Learning & AI
Self-motivated Data Scientist with hands-on experience in machine learning, predictive modeling, and large-scale data analytics, with strong Python and SQL skills and exposure to Big Data technologies. Experienced in building and optimizing models, working with large datasets, and deploying AI algorithms into production. Actively seeking opportunities to leverage data and technology to create impactful solutions that address real-world challenges.
University of Moratuwa
MSc · Data Science and AI
August 1, 2026 – Present
Pearson
Diploma · Academic English
August 1, 2019 – June 30, 2019
University of Jaffna
BSc(Hons) · Electrical and Electronics Engineering
August 1, 2019 – June 30, 2024
Trivyol Inc
Data Scientist
May 1, 2025 – Present
India
Emojot
Software Engineer (Specialised in AI)
December 1, 2024 – May 1, 2025
India
SenzMate IoT Intelligence
ML Engineer Intern
February 1, 2024 – July 1, 2024
India
Real Time Monitoring Chatbot
December 1, 2025 – Present
Building an LLM-powered chatbot for real-time time-series monitoring and anomaly detection using a multi-agent pipeline for query understanding and analysis.
Automated Table Extraction from PDFs
January 1, 2025 – January 1, 2025
Built a Streamlit app to extract tables from PDFs using PyMuPDF and PyPlumber, storing them in a vector database for easy retrieval based on user queries.
LLM-Powered Scalable Chatbot for Document & Dynamic Data Retrieval
December 1, 2024 – January 1, 2026
Built a scalable LLM-powered chatbot handling millions of PDFs and dynamic time-series/SQL data. Implemented query classification with agent-based tool selection (SQLToolkit, VectorDBTool) and RAG pipelines over structured (RDS, DynamoDB, SQLite) and vector databases (AstraDB, Pinecone). Deployed FastAPI backend with real-time streaming responses and AWS-based storage infrastructure.
Tourism Recommendation System
September 1, 2024 – September 1, 2024
Developed a question-response system for personalized tourism recommendations using synthetic data from Gemini and fine-tuned LLaMa-2.
Diet Recommendation System
April 1, 2024 – July 1, 2024
Developed an LLM-based app providing personalized diet recommendations and meal planning based on client conditions, allergies, and weight goals.
Plant Vision
February 1, 2024 – July 1, 2024
A computer vision project for detecting and identifying plant diseases using deep learning models, deployed on an NVIDIA Jetson Nano.
Fundamentals of Accelerated Data Science
NVIDIA
June 1, 2026 – Present
AWS Academy Data Engineering & Machine Learning Foundations
AWS Academy
June 1, 2026 – Present
Introduction to Containers, Kubernetes, and Openshift V2
Unknown
June 1, 2026 – Present
Large Language Models offered by H2O.ai | Level 1 & 2
H2O.ai
June 1, 2026 – Present
Azure DevOps for Beginners
Azure
June 1, 2026 – Present
Leveraging Cloud-Based Machine Learning on Google Cloud Platform
Google Cloud Platform
June 1, 2026 – Present
Deep learning fundamentals with Keras
Keras
June 1, 2026 – Present
Master AutoML with H2O Driverless AI
H2O.ai
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from LLM chatbots to computer vision and recommendation systems, demonstrates adaptability and a broad interest in AI/ML applications. Their experience across different company types (startup, established tech) and academic pursuits align well with a dynamic, innovation-driven culture. The target role of Data Science is well-aligned with their current and past roles, as well as their educational background.
Soft Skills & Operational Fit
The candidate's resume highlights project management, leadership, and public speaking skills, indicating a good operational fit for roles requiring collaboration and communication. Their involvement in university activities also suggests teamwork and organizational capabilities.