Data Analyst · Kathmandu, Nepal

Turning raw data
into real decisions.

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.

1,941matches analyzed/
1,000books scraped/
r = 0.028price–rating correlation found/
6competitions covered/
2BI tools mastered/
50pages scraped/
01 / ABOUT

Recent Computing graduate, self-taught in the tools that turn data into decisions.

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.

2
Complete Projects
5+
Tools in Production Use
BSc
Hons Computing
NP
Based in Kathmandu
02 / PROJECTS

Selected work

Machine Learning Football match analysis Power BI dashboard
MATCH 01

Football Match Outcome Analysis & Prediction

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.

Accuracy 46.2% Macro F1 0.43 Home Win Rate 42.9%
Web Scraping Book store analysis dashboard
MATCH 02

Book Store Analysis - Scraping, EDA, SQL & Dual Dashboards

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.

Books 1,000 Correlation r=0.028 BI Tools 2
03 / SKILLS

Toolkit

Language

  • Python

Analysis & BI

  • pandas
  • matplotlib / seaborn
  • scikit-learn
  • SQL (SQLite)
  • Power BI
  • Tableau

Data Collection

  • requests
  • BeautifulSoup

Tools

  • Git / GitHub
  • Jupyter Notebook
  • Google Colab
04 / CONTACT

Let's work together.

Open to entry-level Data Analyst roles - remote or Kathmandu-based.