Chathurangi Godahewa Gamage

Aspiring Data Analyst with a Master of Applied Data Science, and a passion for transforming raw data into actionable insights. Skilled in data visualization, statistical analysis, and predictive modeling using tools such as Python, SQL, Tableau, and Excel. Adept at developing interactive dashboards, automating reporting processes, and providing data-driven recommendations to support strategic decision-making. Strong communicator with a keen attention to detail, and the ability to translate complex datasets into clear narratives. Seeking a challenging role in data analytics to contribute to organizational success and continuous improvement.

• The program and scraping scripts were developed using Python, and include a database for storing scraped data, enhanced programming skills, and gained a better understanding of the development process

• Comprehensive project that delves into the critical role of financial inclusion amid the COVID-19 pandemic, focusing on its effects on marginalized socio-demographic groups, with a particular emphasis on women and the economically disadvantaged, leveraging data from the Global Findex Database

• Analyzed a 100 GB Global Historical Climatology Network dataset (1750–2024) with over 3 billion records using Apache Spark and PySpark for distributed processing and data wrangling, enriched metadata for 125,983 weather stations across 219 countries, and identified patterns in operations and coverage, processed daily summaries via HDFS partitioning, optimizing task execution, and created advanced Tableau visualizations, including time-series and global rainfall analyses, revealing key climate insights

• Analyzed the Million Song Dataset to build a song recommendation system using collaborative filtering, leveraged Apache Spark for processing, addressed data sparsity, and optimized recommendations with the Alternating Least Squares algorithm Designed scalable data pipelines, and delivered insights to enhance user experiences