I’m a Data Scientist and Machine Learning Practitioner passionate about turning complex data into actionable intelligence and human-centred AI systems.
My expertise spans computer vision, forecasting, and natural language processing, where I design data-driven solutions that merge research with real-world impact.
I enjoy building clean, reproducible ML pipelines and intuitive applications that make insights accessible to everyone.
- Master of Data Science & Innovation (UTS) — TD School Merit Award for Outstanding Academic Achievement
- Bachelor of Software Engineering (First Class Hons) — NSBM Green University
- Vehicle Re-Identification with Deep Metric Learning — mAP/Rank-k evaluation, Triplet vs SupCon Loss, ViT baseline
- Criminal Vehicle Identification using Deep Learning and Computer Vision — PyTorch-based implementation
- Flight Fare Estimator (Streamlit + API) — GBM vs Random Forest vs Neural Network with SHAP insights
- Retail Sales Forecasting (7-Day Horizon) — SARIMAX vs Prophet vs LSTM forecasting comparison
- Job Scraper (Seek · LinkedIn · Indeed · Glassdoor) — Playwright + Requests pipeline with a clean, modular data model
Languages: Python · SQL
Frameworks & Libraries: PyTorch · TensorFlow · scikit-learn · pandas · NumPy
Tools & Platforms: Streamlit · FastAPI · Docker · GitHub Actions · Jupyter
Visualization: matplotlib · plotly · seaborn
📧 lihininisansala2000@gmail.com
⭐️ “Building data-driven systems that make technology more intelligent, transparent, and impactful.”