I'm Aashish - I build complete data analysis pipelines from scratch: collecting data, cleaning it, finding what actually matters, and presenting it clearly in Python, SQL, and BI dashboards.
I hold a BSc (Hons) in Computing from Coventry University, awarded via Softwarica College of IT & E-Commerce in Kathmandu. I'm currently completing an intensive Data Analysis with AI training program, on top of my degree.
Rather than just working through tutorials, I build complete, end-to-end projects - collecting real data myself where possible, cleaning it properly, and presenting findings through both code and interactive dashboards.
Outside of data work, I follow football closely and help organize youth football logistics - which is part of why my flagship project analyzes match outcomes across Europe's top leagues.
Analyzed 1,941 matches across 6 European competitions to test whether home advantage still holds, and whether recent team form can predict match outcomes. Engineered rolling 5-match form features with strict leakage prevention, compared Logistic Regression against Random Forest, and chose a class-balanced model after finding raw accuracy masked poor performance on draws.
Built a 1,000-row dataset entirely from scratch - scraping 50 pages with Python, then a second pass per book to extract categories. Caught and documented a real data quality issue rather than ignoring it, and found no meaningful link between price and rating, independently confirmed across Python, Power BI, and Tableau.
Open to entry-level Data Analyst roles - remote or Kathmandu-based.