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Data Science with less than a year in Machine Learning & MLOps
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Assessing your cultural and operational fit
High-achieving IT undergraduate (GPA 3.61) specializing in Data Science. Skilled in the end-to-end data lifecycle—from extracting and cleaning data using SQL and Pandas to developing and deploying machine learning models. Passionate about transforming raw data into actionable business insights. Eager to apply skills in MLOps, visualization, and AI engineering as an intern.
Sri Lanka Institute of Information Technology (SLIIT)
BSc (Hons) in Information Technology · Data Science
September 1, 2023 – June 30, 2027
Breast Cancer Diagnostic System
October 1, 2025 – June 30, 2026
Engineered a classifier to distinguish malignant tumors with 97% accuracy. Utilized the Wisconsin Diagnostic dataset, performing extensive cleaning and feature scaling. Conducted Exploratory Data Analysis (EDA) on 30+ features to identify key predictors of malignancy. Deployed an interactive Streamlit dashboard providing real-time predictions and confidence probability scores.
View ProjectAQI Category Prediction System
October 1, 2025 – June 30, 2026
Engineered a classification pipeline utilizing Logistic Regression on pollutant/geospatial data (94% accuracy). Conducted ensemble-based feature importance analysis (Random Forest & Gradient Boosting) to select key predictors. Benchmarked multiple algorithms (Logistic Regression vs. RF/GB), evaluating models using F1-score, Precision, and Confusion Matrices to ensure balanced classification. Deployed a Streamlit dashboard integrating geolocation mapping, WHO comparisons, and automated PDF reporting.
View ProjectSentiment Analysis System (NLP)
October 1, 2025 – June 30, 2026
Fine-tuned a DistilBERT transformer model on the 1.6M-tweet Sentiment140 dataset, leveraging HuggingFace for state-of-the-art classification. Engineered a robust NLP preprocessing pipeline, implementing noise removal (URLs/emojis), tokenization, and stratified splitting to optimize data quality. Developed a high-performance REST API using FastAPI to serve model predictions, implementing optimized inference and confidence scoring. Integrated the backend with a modern React.js frontend, creating a complete full-stack application to visualize sentiment analysis in real-time.
View ProjectPassword Safety AI System (Group Project)
October 1, 2025 – June 30, 2026
Architected a multi-agent system (Generator, Watchdog, Vault) to automate password lifecycle management and domain-aware deduplication. Achieved ~78% strong-password adoption among test users by implementing a multilingual passphrase generator. Integrated the HaveIBeenPwned API for real-time breach detection, significantly improving user account security posture. Developed a secure Next.js frontend and FastAPI backend to orchestrate agent workflows and ensure secure autofill readiness.
View ProjectIBM AI Engineering Professional Certificate
Coursera
June 1, 2026 – Present
Machine Learning with Python
IBM (Coursera)
June 1, 2026 – Present
Python Project for Data Science
IBM (Coursera)
June 1, 2026 – Present
Data Visualization with Excel and Cognos
IBM (Coursera)
June 1, 2026 – Present
Machine Learning with PySpark
IBM (Coursera)
June 1, 2026 – Present
Python for Beginners
University of Moratuwa (Open UOM)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interests within Data Science, from medical diagnostics to NLP and security. The group project indicates an ability to collaborate. The certifications demonstrate a commitment to continuous learning, which aligns with a growth-oriented culture. However, the lack of professional experience means cultural fit in a corporate environment is largely unproven.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project execution and a proactive learning attitude via certifications. The project descriptions indicate an ability to work on complex technical challenges and deploy functional systems. However, without direct work experience, operational fit in a professional team setting is yet to be validated.