Hi, I'm Abishek Thapa
Data Analytics Enthusiast
Transforming complex datasets into actionable insights through SQL, Python, and Power BI. Passionate about ETL pipelines, data visualization, and turning raw data into strategic business solutions.
Transforming complex datasets into actionable insights through SQL, Python, and Power BI. Passionate about ETL pipelines, data visualization, and turning raw data into strategic business solutions.
I am Abishek Thapa, an aspiring data analyst passionate about transforming raw data into clear, actionable insights. Currently, I am a student at Torrens University in Brisbane, pursuing my Master's in Business Information Systems.
With hands-on detailed project in SQL, Python, Power BI, and ETL pipelines, I have built and optimized databases, designed interactive dashboards, and delivered meaningful visualizations that tell compelling stories. My projects include developing a South East Queensland Bus Route Database using GTFS data, creating an Australian Housing Market Power BI dashboard with advanced DAX, and engineering an ETL process for the Yelp Academic Dataset using PostgreSQL and Jupyter Notebook.
I thrive at the intersection of problem-solving and data storytelling, with a strong focus on clean, efficient, and performance-optimized solutions. I am eager to contribute my analytical expertise to solve real-world business challenges and support data-driven decision-making.
Built a comprehensive ETL pipeline processing JSON files from Yelp Academic Dataset into PostgreSQL. Implemented data cleaning, transformation, and loading processes using Python and Jupyter Notebooks.
Developed a comprehensive bus route analysis system using GTFS data. Created interactive visualizations and route optimization algorithms using Python libraries including pandas, matplotlib, and seaborn.
Created an advanced Power BI dashboard analyzing Australian housing market trends. Implemented complex DAX measures for market analysis, price predictions, and regional comparisons with interactive visualizations.
Developed real interview-style query challenges focusing on SQL optimization, performance tuning, and complex data analysis. Created solutions for large-scale datasets with focus on query efficiency and best practices.