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Data Scientist with 1+ years in Data Analytics & Machine Learning
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Assessing your cultural and operational fit
Data Science undergraduate with strong interests in Data Analytics, Machine Learning, Artificial Intelligence, and Data Engineering. Skilled in Python, SQL, Power BI, Spring Boot, React.js, and database management with hands-on experience in full-stack development, ETL processes, and business intelligence projects. Passionate about building data-driven solutions and applying analytical and problem-solving skills to real-world challenges.
SLIIT Malabe
BSc (Hons) · Data Science
August 1, 2023 – Present
St. Benedict's College Colombo 13
G.C.E A/L and G.C.E O/L
N/A – Present
Commercial Bank of Ceylon
Bank Trainee
May 1, 2024 – September 1, 2025
Wattala, Western Province, Sri Lanka
Retail Data Warehouse & OLAP Analytics System
January 1, 2025 – December 31, 2025
• Designed and implemented a star schema data warehouse for retail sales analytics using fact and dimension tables. • Developed ETL workflows and integrated SSIS, SSAS Cube implementation, and OLAP operations including roll-up, drill-down, slice, dice, and pivot analysis. • Created interactive Power BI dashboards and Excel PivotTable reports for business intelligence reporting and sales analysis. • Implemented hierarchical dimensions, analytical measures, and real-time business reporting for decision-making support.
Employee Performance Analytics using R
January 1, 2025 – December 31, 2025
• Conducted data analytics and predictive modeling to evaluate the impact of role clarity on employee performance using employee engagement survey datasets. • Performed data preprocessing, trend analysis, descriptive statistics, correlation analysis, ANOVA testing, and regression modeling using R. • Developed predictive models and analyzed relationships between role clarity and employee performance using statistical techniques. • Created data visualizations and analytical reports to present insights and support data-driven decision-making.
Resora - Smart Campus Operations Hub
January 1, 2025 – December 31, 2025
• Developed a full-stack smart campus management platform with resource booking, maintenance ticketing, notifications, and role-based dashboards. • Built secure REST APIs with JWT authentication, Google OAuth 2.0 integration, and role-based access control using Spring Boot architecture. • Implemented real-time notifications using WebSocket/STOMP, QR-based booking verification, SLA ticket tracking, and Cloudinary image handling. • Designed responsive frontend interfaces with React.js and integrated PostgreSQL database management with Spring Data JPA.
Greenhouse Management System
January 1, 2024 – December 31, 2024
• Built a smart greenhouse monitoring system to track temperature, humidity, and irrigation conditions. • Developed automated alerts and dashboards for real-time environmental monitoring and visualization. • Improved resource management and environmental control through data-driven monitoring features.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technologies across different domains (greenhouse management, retail analytics, campus operations, HR analytics). This breadth of interest and willingness to tackle varied problems suggests a good cultural fit for an innovative and dynamic team. The focus on data-driven decision-making aligns well with a data science-centric culture. However, the lack of professional experience beyond an internship means less exposure to corporate cultural nuances.
Soft Skills & Operational Fit
The candidate's experience as a Bank Trainee highlights strong verbal and written communication, problem-solving, analytical skills, and teamwork in a demanding environment. These are valuable soft skills for a Lead Data Scientist role, particularly in communicating complex findings and collaborating with cross-functional teams. The project descriptions also indicate an ability to work on data-driven solutions and apply analytical thinking.