2023 — 2027
Current
Sri Lanka Technology Campus (SLTC)
BSc. (Hons.) in Data Science
01 / HELLO
Ganguli
Kaluarachchi
Data Science Undergraduate
Data Science
Machine Learning
Applied AI
Software Development
I work at the intersection of data, machine learning and software — turning messy information into useful insights and practical digital solutions.
COLOMBO / SRI LANKA
01
DATA
ML
AI
02
02 / ABOUT
A little about
what I do.
I'm a final-year Data Science undergraduate passionate about turning data into meaningful insights and building practical software solutions.
I enjoy working with machine learning, data analytics and applied statistics to solve real-world problems. Alongside data science, I have a growing interest in software engineering and have developed web and mobile applications using technologies including Flutter, Python and JavaScript.
I enjoy challenging myself, collaborating with others and building solutions that have practical value. I'm currently looking for opportunities where I can apply my skills while continuing to grow as a Data Scientist and Software Engineer.
Location
Colombo, Sri Lanka
Focus
Data Science
Interests
ML / AI / Analytics
Status
Open to Opportunities
03 / EDUCATION
Academic background.
My formal academic path and the foundation behind my work in data, computing and technology.
2016 — 2021
Walisinghe Harischandra National College
Advanced Level - Physical Science
04 / SKILLS
Tools behind the work.
Technologies and concepts I use across data science, analytics, machine learning and software projects.
Soft Skills
05 / SELECTED WORK
Projects worth talking about.
A selection of academic and technical work spanning explainable AI, big data, business intelligence and MLOps.
01
Ongoing
Research Project / Group
XAI-Powered Mobile Health System for Postpartum Depression
Final-year research project designing an Explainable AI-integrated conversational mobile health system for early detection and personalized recovery support of postpartum depression among Sri Lankan mothers.
The system combines risk prediction, SHAP-based explainability, conversational symptom check-ins and personalized guidance through a mobile application.
02
Completed
Deep Learning / Agriculture
SmartCrop — ANN-Based Seasonal Crop Recommendation System
Developed a Sri Lanka-focused seasonal crop recommendation system combining district-level soil information with forecast weather conditions to recommend suitable crops for farmers.
Built a multiclass Artificial Neural Network using soil NPK, temperature, humidity, pH and rainfall, integrated an LSTM weather forecasting model, compared the ANN with traditional machine learning baselines and developed a farmer-friendly web system.
03
Completed
Machine Learning / Explainable AI
SmartCare Hospital AI — 30-Day Patient Readmission Prediction
Developed an explainable AI system to predict whether a hospital patient is at risk of being readmitted within 30 days using clinical, admission, utilization and billing data.
Built and compared multiple machine learning models, extended the analysis with deep learning and ensemble methods, used SHAP for model explainability and developed a Streamlit prototype for patient-level risk assessment.
04
Completed
Graph Neural Networks / Deep Learning
Graph Neural Networks for Node Classification on the OGBN-Arxiv Citation Network
Developed a large-scale graph learning pipeline for multiclass node classification on the OGBN-Arxiv scientific citation network containing 169,343 papers, more than 1.16 million directed citations and 40 subject categories.
Implemented and evaluated GCN and GraphSAGE architectures using PyTorch Geometric, explored learned embeddings and neighbourhood influence, and developed a Streamlit graph intelligence dashboard for graph analysis and model evaluation.
05
BI / Forecasting
Retail Sales Business Intelligence & Forecasting
End-to-end Business Intelligence case study using more than 307,000 warehouse and retail transactions from 2017 to 2020.
Performed statistical testing, correlation analysis, forecasting and association-rule analysis before translating the findings into a Power BI dashboard.
06
MLOps Pipeline / Group
Telco Customer Churn Prediction — Full MLOps Pipeline
Built a production-oriented churn prediction workflow covering data versioning, experiment tracking, orchestration, model deployment and automated retention recommendations.
The project used DVC, MLflow, Apache Airflow, Docker, FastAPI and an LLM-based recommendation component.
07
Completed
Big Data Pipeline / Group
Retail Analytics Pipeline — Medallion Architecture
Built an end-to-end Big Data pipeline on more than 540,000 UK e-commerce transactions using PySpark and MongoDB Atlas.
Implemented Bronze, Silver and Gold layers, rule-based data quality validation, duplicate detection, RFM customer segmentation and optimized MongoDB indexes.
06 / EXPERIENCE
Leadership beyond the classroom.
Leadership, volunteering and teamwork have been an important part of how I developed professionally.
01
2025 — 2026
IEEE WIE SLTC / Executive Committee
Vice Chairperson
- Guided and supported technical, outreach and community initiatives including WIE Day, VioletGlow, BlenderOps, WiSTEM and InspiHER{Tech}.
- Mentored organizing committees and coordinated planning with the executive committee.
02
2024 — 2025
IEEE WIE SLTC / Sub Committee
Finance Deputy Head
- Supported budgeting, financial planning, resource allocation and event coordination.
- Led WIE Day '25 as Chairperson, organizing a cybersecurity awareness workshop for more than 50 participants.
03
IEEE / University Organizations
Other Organizing Committee Experience
Held multiple leadership and organizing positions across IEEE organizations and university societies, supporting project planning, finance, documentation, stakeholder coordination and event execution.
07 / CREDENTIALS
Professional qualifications & certifications.
Professional certifications, technical credentials and recognized achievements that support my academic and professional development.
IEEE
IEEEXtreme 19.0 Programming Competition
Participated in IEEEXtreme 19.0, IEEE's global 24-hour programming competition, as a member of Team Pixelle.
View Certificate08 / CONTACT
Have something
interesting?
Let's talk.
I'm open to internships, junior data opportunities, software roles and research collaborations.