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Data Science with less than a year in Data Analysis & Statistical Modeling
Recently completed a Bachelor of Science Honours in Applied Statistics with strong skills in data analysis, statistical modeling, and problem-solving, supported by a solid foundation in statistics, mathematics and computer science. Experienced in applying analytical techniques to real-world problems and passionate about leveraging data-driven insights to support business decision-making. Eager to contribute and grow in dynamic and challenging professional environments.
University of Colombo
BSc (Hons) in Applied Statistics · Applied Statistics
January 1, 2022 – June 1, 2026
Gothami Balika Vidyalaya, Colombo
G.C.E. Advanced Level Examination · Physical Science Stream
January 1, 2020 – December 31, 2020
Digital Mobility Solutions Lanka (Pvt) Ltd
Business Analyst Intern
November 1, 2025 – Present
India
ITC Trip Fraud Detection
January 1, 2026 – Present
Performed driver-wise and passenger-wise analysis to understand behavioral patterns related to fraudulent trips in a ride-hailing dataset. Conducted data loading, cleaning, and feature engineering (ITC_flag, same_h3, commission, app_fee, commission_flag, and temporal/behavioral features). Built a classification model using LightGBM with class weighting to detect ITC (fraudulent) trips. Evaluated model performance using probability scores and key metrics, and applied feature importance techniques to interpret model decisions and identify key fraud indicators.
Customer Churn Analysis-Speedy Call
January 1, 2026 – Present
Performed statistical tests (correlation, chi-square, Mann-Whitney U, ANOVA) to analyze churn factors. Identified key churn drivers (contract type, tenure, monthly charges, internet service) and provided actionable insights to improve retention.
Heart DiseasePrediction – Individual Project
January 1, 2026 – Present
Used multiple machine learning models to predict heart disease, with CatBoost achieving the highest accuracy of 90.2%. Performed data preprocessing (scaling, missing values, categorical encoding). Conducted feature importance analysis to identify key risk factors for early diagnosis.
HR Analytics Dashboard-PowerBI Project
January 1, 2026 – Present
Collaborated on a group project to develop an interactive HR Analytics dashboard. Analyzed employee attrition, job satisfaction, demographics, and education fields using Power BI. Created interactive visualizations and drill-down reports to help HR teams identify attrition patterns and guide workforce planning and retention strategies.
AI/MLEngineer-Stage 1(Ongoing)
SLIIT
January 1, 2026 – Present
IBM Data Engineering Professional Certificate
Coursera
January 1, 2025 – Present
Python - kaggle
kaggle
January 1, 2024 – Present
Data Structures & Algorithms in Java
Great Learning Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to applying theoretical knowledge to practical problems, which aligns with a results-oriented culture. The diversity of projects (fraud detection, churn analysis, HR analytics, heart disease prediction) shows a broad interest in different domains, suggesting adaptability. The ongoing certifications and high GPA indicate a strong drive for learning and excellence. The internship, though not directly data science, shows an ability to work in a corporate environment and contribute to product development, which is a positive indicator for team integration.
Soft Skills & Operational Fit
The candidate lists strong communication & presentation skills, team collaboration, problem-solving, time management, and ability to work under pressure. These are essential for a data science role, especially in communicating insights and collaborating on projects. The Business Analyst internship also suggests practical application of some of these skills in a professional setting.