I'm a Data Science Undergraduate    |    Developer    |    Researcher

About

About Me

Heshan Chandeepa Pathamakumara

I am a dedicated and polychronic individual who ensures to accomplish any given task with dedication and in a timely manner. I am curious, a fast learner, and interested in the fields of Data Science, Machine Learning, and Artificial Intelligence. I can manage risks and fulfill responsibilities effectively both as a team worker and individually. My career objective is to leverage data-driven insights to pioneer visionary solutions that contribute to a brighter future for humanity.

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Latest News

2025 May

Research Paper Published in IEEE Xplore 📄

Our paper, "Advanced Deep Learning Techniques for Lung Sound Classification: Binary, Multi-Class, and Ensemble Approach", co-authored by me and my supervisor Gayan Perera, has been published in IEEE Xplore! 🎉

This research presents deep learning methods to improve lung sound classification for respiratory disease detection.

IEEE Publication

2025 May

Final Year Project Poster Presentation 🖼️

I successfully defended my final year project, “PulmoSense AI: A Deep Learning Based Lung Sound Classification System”, at the poster presentation event. It was a rewarding experience sharing my work on pulmonary disease detection using deep learning.

Poster Presentation

2025 May

Thesis Submitted 🎓

I submitted my final year thesis titled “PulmoSense AI: A Deep Learning Based Lung Sound Classification System” to the University of Plymouth, under the supervision of Mr. Gayan Perera, for my BSc (Hons) in Data Science.

Thesis Submission

2025 March

Me and my supervisor, Gayan Perera, presented our paper, "Advanced Deep Learning Techniques for Lung Sound Classification: Binary, Multi-Class, and Ensemble Approach" at the 7th International Conference on Software Engineering and Computer Science, Xi'an Jiaotong-Liverpool University, China! 🎉

Our research introduces deep learning techniques to enhance lung sound classification accuracy. The paper has been accepted for publication.

CSECS 2025 Conference

2024 October

I presented & published my research, "Machine Learning Techniques for Predicting Brain Stroke Risk: Addressing Data Imbalance" at ICACT 2024! 🌟

This work explores how machine learning can tackle data imbalance challenges to improve stroke risk prediction.

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Education

University of Plymouth Logo

University of Plymouth, UK

September 2022 - September 2025

BSc (Hons) in Data Science

Undergraduate

Major: Data Science

Supervisor: Mr. Gayan Perera

Publications

2025

  • "Advanced Deep Learning Techniques for Lung Sound Classification: Binary, Multi-Class, and Ensemble Approach" Accepted: 2025 March
    Authors: Heshan Chandeepa Pathmakumara, Gayan Perera
    Conference: 7th International Conference on Software Engineering and Computer Science (CSECS 2025), Xi'an Jiaotong-Liverpool University, China
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2024

  • "Machine Learning Techniques for Predicting Brain Stroke Risk: Addressing Data Imbalance" Published: October 2024
    Authors: Heshan Chandeepa Pathmakumara, R W K T Rajapaksha
    Conference: International Conference on Advanced Computing Technologies (ICACT 2024)
    PDF Icon

Projects

Project 1
Stroke Risk Prediction System

Developed stroke prediction models using SMOTE, logistic regression, and a web app for risk estimation, enhancing early diagnosis and intervention.

Project
Project 2
Sales Insights Data Analysis Using Power BI

Analyzed sales data with SQL and built a Power BI dashboard, using SQL to retrieve data from the database.

Project
Project 3
Common Rice Diseases Detector

Developed a rice disease detector using machine learning and CNN, enabling farmers to identify diseases by photographing rice leaves.

Project
Project 4
Bank Customer Churn Analysis

Analyzed customer data to identify churn factors, using R, ML models, and visualization libraries, with insights for churn reduction.

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Project 5
Supermarket Dataset Analysis

Performed statistical analysis using R and visualization libraries, developed ML models, and documented findings on GitHub with detailed reports.

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Project 6
Website for Ella, Sri Lanka

Developed a website for Ella, highlighting tourist attractions, using CSS, HTML, PHP, and front-end and back-end development skills.

Project

Certifications

Statistics for Data Science with Python

Learned Python for statistical tests, hypothesis testing, descriptive statistics, and visualizations, culminating in a final project demonstrating various analyses.

Certificate
Agile Software Development: Scrum for Developer

LinkedIn Learning Certificate in Agile Software Development: Scrum for Developers, gaining skills in Agile and Scrum methodologies.

Certificate
Cloud Skills Challenge: Azure Fundamentals

Completed Cloud Skills Challenge: Azure Fundamentals with Microsoft Learn Student Ambassadors, gaining skills in Azure, Microsoft Azure, and cloud computing.

Certificate
Supervised Machine Learning: Regression and Classification

Learned to build machine learning models in Python with NumPy and scikit-learn, including linear and logistic regression for classification.

Certificate
Learning SQL Programming

Earned LinkedIn Learning Certificate in Learning SQL Programming, covering essential SQL skills for data management and query execution.

Certificate
Introduction to Data Science

Cisco badge recipient completed Introduction to Data Science, with knowledge in Data Analytics, Engineering, AI/ML, and career opportunities in data roles.

Certificate
AI/ML Engineer - Stage 1

Completed AI/ML Engineer - Stage 1 course, covering AI/ML fundamentals, hands-on practice with TensorFlow and PyTorch, and earning a certificate of completion.

Certificate
Python for Beginners

Completed "Programming in Python - 1: Python for Beginners," covering basics, essentials, software development, and hands-on assignments like programming a calculator.

Certificate

Skills

Python
Python

Proficient in Python for data science, utilizing libraries like NumPy, pandas, and scikit-learn for data analysis, machine learning, and visualization.

Data Visualization
Data Visualization

Skilled in data visualization using Python, R, and Power BI, creating insightful charts and dashboards for effective data analysis.

SQL
SQL

Proficient in SQL for querying and managing databases, performing data manipulation, and generating insights through complex queries and analysis.

Data Storytelling
Statistical Analysis

Experienced in statistical analysis using Python and R, performing hypothesis testing, regression, and descriptive statistics to derive actionable insights.

Machine Learning
Machine Learning

Experienced in machine learning techniques including supervised and unsupervised learning, with a focus on implementing models for predictive analytics.

Deep Learning
Deep Learning

Proficient in deep learning frameworks like TensorFlow and Keras for building and training neural networks, including CNNs and RNNs, for advanced AI applications.

Big Data
Web Development

Skilled in web development, including front-end and back-end technologies, building responsive websites using HTML, CSS, JavaScript, and server-side frameworks.

Cloud Computing
Communication

Strong communication skills in conveying complex data insights clearly, collaborating effectively with teams, and presenting findings to diverse audiences.

Contact Me

📧 hchandeepap@gmail.com

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Website by Heshan Chandeepa