Hi, I'm

Sankajith Jinasena

Aspiring

I’m a passionate Data Science undergraduate at Sabaragamuwa University of Sri Lanka, dedicated to continuous learning and skill development. I enjoy tackling real-world problems through data-driven solutions, paying close attention to detail, and collaborating effectively with teams. My interests include Machine Learning, Artificial Intelligence, Data Engineering, and Full-Stack Development.

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About

About Me

Undergraduate Student

I am an undergraduate student in Data Science at Sabaragamuwa University of Sri Lanka, currently in my second year. I have a strong interest in areas such as machine learning, artificial intelligence, data analysis, and full-stack development. I am passionate about learning, problem-solving, and exploring how data can drive innovative solutions.

Beyond academics, I enjoy experimenting with new technologies, contributing to projects, and engaging in activities that help me grow both personally and professionally.

Address: Kandy, Sri Lanka

Contact Number: +94 71 354 5642

Email: sankajithdjinasena@gmail.com

Date of Birth: 2003 November 05

My Experience

Commercial Bank Logo

Digital Service Assistance

Commercial Bank - KCC branch
2023 Oct - 2024 Apr

Digital Services Associate, or DSA for short. Digital services are incredibly quick and simple. The main app at Commercial Bank is called Combank DIgital; additional applications include Q plus and Flash. As a DSA, my responsibilities include marketing digital services, educating clients, supporting clients who use these services, and tracking clients' usage. My knowledge of banking, customer service, and problem-solving skills for digital services are all being developed by this position.

This contract by Micronet Global Services (Pvt) Ltd

Dharmavijaya Computer Training School Logo

IT Consultant

Dharmavijaya Computer Training School
2023 Feb - 2024 Feb

I was fully versed with Microsoft Office (Word, PowerPoint, Excel, Access, etc.), basic programming (Python, HTML, CSS), video editing, and computer hardware because I worked in a computerized workplace. My technical, managerial, and instructional abilities are all improved by this work.

Dharmavijaya Computer Training school
Registration No: DVS/6/5/64/34

My Education

Undergraduate in Data Science

Sabaragamuwa University, Sri Lanka
2024 - Present

I'm an undergraduate in Data Science in Sabaragamuwa University, Belihuloya, Sri Lanka. In this Degree program we are learning concepts related to Data Science and also we are learning and getting practical knowledge about programming and softwares.

Student

Dharmaraja College
2020 - 2023

I faced Advanced Level Exam in 2022(2023) in physical scheme including subjects Combined maths, physics and chemistry. I passed with 2B's and one C with 1.3509 z-score.

Student

Dharmaraja College
2008 - 2019

My school is Dharmaraja College, Kandy. It's one of best school in Sri Lanka. In 2019 I faced to O/L examination and I passed with 8A's and one B. In 2020 again I faced to O/L examination to do secondary subject(Tamil) and I got C pass.

My Certifications

Google AI Essentials

Google - Coursera
2025

Completed Google AI Essentials, a beginner-friendly program covering generative AI tools, prompt engineering, and responsible AI practices

Introduction to Data Analytics

IBM - Coursera
2024

Completed Introduction to Data Analytics by IBM on Coursera. Gained foundational knowledge in data analysis concepts, tools, and techniques including data visualization, data cleaning, and exploratory data analysis. Developed skills to interpret data and support data-driven decisions effectively.

PowerBI for Beginners

Simplilearn
2024

Completed Power BI for Beginners course from Simplilearn. Gained hands-on skills in data visualization, Power BI Desktop, DAX functions, dashboards, and reporting. Learned how to connect data sources, transform data, and build interactive visual reports for data-driven decision-making.

SQL Intermediate

Sololearn
2023

Completed SQL Intermediate course on Sololearn. Enhanced skills in querying databases, using JOINs, subqueries, aggregate functions, and data manipulation. Strengthened ability to work with relational databases and write efficient SQL queries for real-world applications.

Python Programming

University of Moratuwa
2023

Successfully completed a practical, hands-on course in Python programming offered by the University of Moratuwa (CODL). This course covered core programming fundamentals and introduced me to Python's use in automation, data handling, and problem-solving

Fundamentals of Digital Marketing

Google Digital Garage
2023

Completed Google’s Fundamentals of Digital Marketing course, accredited by the IAB. Covered 26 modules including SEO, SEM, social media, email marketing, content strategy, analytics, and mobile marketing. Gained a strong foundation in digital marketing tools and strategies to effectively plan, execute, and measure online campaigns.

Data Analytics with AI

Sololearn
2023

Completed the Data Analytics with AI course on Sololearn. Gained proficiency in using Python for data analysis and machine learning, including data visualization, statistical analysis, and predictive modeling. Developed skills in working with real-world datasets and applying AI techniques to derive actionable insights.





Technical Skills

Python

MySQL

Numpy

Scikit-learn

Tensorflow

PowerBI

HTML/CSS

PHP

Java

Filmora

Latest Projects

CSV Data Analyzer


2026 Jan - 2026 Feb

A Python-based desktop application that enables users to efficiently explore, clean, visualize, and analyze CSV datasets through an intuitive graphical interface. The application provides real-time data previews, automated data cleaning options, interactive visualizations, and comprehensive statistical insights without requiring manual coding.

Technologies: Scikit-learn, Flask, Tinker

Smart Animal Watcher


2026 Jan - 2026 Feb

A real-time AI-powered surveillance system that detects animals entering a home environment, classifies them as safe or dangerous, and sends instant email alerts for potential threats. This system uses a webcam, YOLO object detection, and a Flask-based web dashboard.

Technologies: Scikit-learn, Flask, HTML, openCV

WellTrackeR – AI-Powered Personal Health

Associated with Sabaragamuwa University of Sri Lanka
2025 Aug - 2025 Nov

Developed a web-based health tracker with AI-driven predictions, personalized recommendations, and dashboards for users and doctors, integrating full-stack development with machine learning for preventive healthcare insights.

Technologies: HTML, CSS, JS, PHP, Python(Scikit-learn, Flask), MySQL

Microsoft Stock Probability Analysis

Associated with Sabaragamuwa University of Sri Lanka
2025 Aug - 2025 Nov

This project analyzes nearly four decades of Microsoft stock price 1986 - 2025 data using probability theory and statistical models to study return behavior, risk metrics, and future price simulations.

Technologies: Python (Pandas, Numpy, Matplotlib, Seaborn)

Bus Management System - Ridesync

Associated with Sabaragamuwa University of Sri Lanka
2025 Feb - 2025 Jun

RideSync is a web-based prototype designed to modernize public transport administration by integrating route scheduling, digital ticket booking, fleet management, and user feedback into a centralized platform.

Technologies: HTML, CSS, JS, PHP, MySQL

User Behavior Classification Based on Mobile Device Usage

Associated with Sabaragamuwa University of Sri Lanka
2024 Sep - 2024 Oct

This project explored the relationship between mobile device usage patterns and user behavior classes using a real-world dataset from Kaggle. It involved the full data science pipeline, from cleaning and preprocessing to building and deploying a predictive model.

Technologies: HTML, CSS, JS, PHP, Python(Scikit-learn, Flask), MySQL

Water Quality Prediction System - Hydroscan


2025 Jan - 2025 Mar

Hydroscan is a machine learning-based water quality prediction system developed. It analyzes historical environmental data to classify and forecast water quality levels. The solution integrates regression and classification models into a full-stack web application.

Technologies: HTML, CSS, JS, PHP, Python(Scikit-learn, Flask), MySQL


AI Financial Market Data Analysis


2025 Aug - 2025 Aug

This project analyzes a synthetic time-series financial dataset of companies involved in Artificial Intelligence (AI), including OpenAI, Google, and Meta.

Technologies:Python(Pandas, Numpy, Matplotlib, Seaborn)

Netflix Data Analysis


2024 Aug - 2025 Aug

This project analyzes the Netflix Dataset which contains detailed information about Movies and TV Shows available on Netflix. The data was collected from Flixable, a third-party Netflix search engine.

Technologies:Python(Pandas, Numpy, Matplotlib, Seaborn)

Maternal Health Risk Predictor


2024 Sep - 2025 Sep

A healthcare dataset collected from hospitals and clinics using IoT-based monitoring systems. It contains key health attributes of pregnant women, including age, blood pressure, blood sugar, and heart rate, with a predicted risk level to support maternal health analysis and risk prediction.

Technologies: HTML, CSS, Python(Scikit-learn, Numpy, Pandas Flask)

My Achievements

Codemania V6.0 Datathon Finalist – Team Deadlock

Selected from a competitive pool of inter-university participants as a Top 15 Finalist at Codemania V6.0. This recognition highlights exceptional teamwork, innovative thinking, and the ability to apply data-driven approaches to solve complex problems in a fast-paced environment.

Bio Fusion Hackathon Participant - Team Deadlock

Demonstrated enthusiasm, dedication, and meaningful engagement during the Bio Fusion Hackathon hosted by the University of Sri Jayewardenepura's IEEE EMBS chapter. Successfully collaborated and competed throughout the week-long event.

CryptX 2.0 Finalist - Team Predictra

Demonstrated enthusiasm, dedication, and active participation during the CryptX 2.0 hackathon organized by the Information and Communication Technology Society (ICTS) at the Faculty of Technology, University of Sri Jayewardenepura. Collaborated effectively with peers and secured a position as one of the Top 15 finalists in the week-long event.

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