Thareen Vithanage

I am an intern Data Analyst specializing in Data Science with robust skills in data analysis, strategic thinking, and project management. I am proficient in Python, SQL, and Power BI, with hands-on experience in data analytics, ETL processes, and creating impactful dashboards. I am seeking an internship to leverage my technical skills in data insights and digital transformation. Notable accomplishments include being a professional chess player and a volunteer.

• Power BI Essential Training - LinkedIn
• Introduction to Large Language Models - LinkedIn
• Net Zero 101 : Digital transformation - United Nations System Staff College (UNSSC)
• Digital4Sustainability professional certificate - United Nations System Staff College (UNSSC)
• Trainee FullStack Developer Professional Certificate (ongoing)- University of Moratuwa
• Data Engineering fundamental with AWS - LinkedIn
• Project Management fundamentals - Project Management Institute
• Machine Learning Operations (MLOps) - Google
• Analyzing & Visualizing Data with Microsoft Excel

• All Island Individual Chess Championship 2019 - Issued by Sri Lanka Chess Federation (Island Rank - 5)
• Top 10 - IntelliHack 3.0 Machine Learning Hackathon 2023 - Issued by IEEE Computer Society Student Branch Chapter of UCSC
• Champions of Codefest Hackathon 2022, organized by SLIIT - Issued by SLIIT, Sri Lanka

• Sinhala - Native
• English - Proficient

• ERP System for Maintenance Management (CMMS)

Developed an ERP system for maintenance management, integrating work tracking and ticketing systems. This initiative aimed at automating daily tasks and streamlining operations., Administered and optimized ERP system dashboards, Collaborated with in-house and outsourced teams for troubleshooting and enhancements, Integrated CMMS for improved maintenance management and data operations, Developed Power BI dashboards for reporting and management insights, Managed bulk data uploads with master files.

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• Optimization of Aquaculture Practices Using ML & Sensor-Based Technologies

This research project aimed to optimize aquaculture practices by analyzing the relationship between water quality changes, fish behavior, and, Water Quality Monitoring and Fish Behavior Analysis, Machine Learning Algorithms: CNN, YOLO, SVM, Programming Languages: Python, Dart (Flutter), Frameworks and Libraries: TensorFlow, OpenCV .

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• Multimodal Music Information Classification System (WhatTrack)

The "WhatTrack" project addresses the growing need for efficient music information classification in digital libraries. This innovative system classifies music by genre, identifies musical instruments, and detects chords, offering a comprehensive tool for music recommendation and education., Music Genre Classification, Chord Identification, Instrument Identification