Data Science with less than a year in Data Analytics & Machine Learning
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Highly analytical and detail-oriented Data Science professional with 8 months of experience in Data Analytics and Machine Learning. Proficient in Python, SQL, Power BI, and Tableau, with a strong background in developing dashboards, implementing data pipelines, and applying ML models for forecasting. Skilled in data cleaning, data modeling, and generating actionable insights from complex datasets.
SLTC Research University
BSc (Hons) · Data Science
March 1, 2021 – March 1, 2025
Viharamaha Devi Girls School, Badulla
GCE Advanced Level · Physical Science Stream
June 1, 2019 – May 31, 2019
American Premium Water System (Pvt) Ltd
Junior Data Analyst
October 1, 2025 – Present
India
ICC (International Construction Consortium - ERP Division)
Intern - Data Analyst
November 1, 2024 – May 1, 2025
India
Case Studies on Data Strategy
August 1, 2024 – August 1, 2024
Investigated industry practices in data governance and quality management, analyzing real-world frameworks, standards and challenges to ensure reliable & compliant data handling.
Data Lakehouse Implementation and Data Visualization
August 1, 2024 – August 1, 2024
Implemented a Microsoft Fabric Data Lakehouse using World Wide Importers data, performed ETL with Dataflow Gen2, built a star-schema semantic model and created Power BI dashboards for sales KPI analysis.
Conducted Research on Data Warehouse Operations in a Leading Organization in Sri Lanka
June 1, 2024 – June 1, 2024
Researched a leading Sri Lankan organization's data warehouse operations, tools and challenges to present real world insights on performance and management.
Sri Lanka Industry Analysis & Visualization Dashboard
January 1, 2024 – January 1, 2024
Analyzed Sri Lanka's economy and industries, visualized key indicators with dashboards and delivered data-driven investment recommendations.
Early Warning System for Timely Flood Protection in the "Kalu River" Region (Final Year Project)
January 1, 2023 – January 1, 2025
Built a real-time flood prediction and alert system using ML/DL models in Python to forecast water levels in the Kalu River region in Ratnapura district, with a mobile app notifying users three hours in advance.
Power BI
Mindluster
June 1, 2026 – Present
Codemania V4.0
SLTC
June 1, 2026 – Present
Managing Data for Information Management
UNICEF
June 1, 2026 – Present
AI Basic
Mindluster
June 1, 2026 – Present
MS Excel
Mindluster
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data science concepts, from flood prediction systems to industry analysis and data lakehouse implementation. The internship and junior data analyst roles show an ability to integrate into professional environments and contribute to business intelligence initiatives. The breadth of tools and methodologies used indicates adaptability and a willingness to explore different technologies, which aligns well with a dynamic data science team culture. The focus on real-world problems in projects (e.g., flood prediction, industry analysis) suggests a problem-solving mindset.
Soft Skills & Operational Fit
The candidate highlights attention to detail, time management, analytical thinking, adaptability, and excellent communication as soft skills. These are crucial for a Data Science role, especially in data analysis, model development, and stakeholder communication. The project diversity and internship experience suggest an ability to work in different operational contexts, from academic research to corporate data analysis.