For employers
Bring an evidence-first analyst onto your team.
Review complete project workflows, code repositories, dashboard work, and a concise CV.
Data analyst · Kathmandu, Nepal
Turning raw datainto real decisions.
I’m Aashish. I build complete data-analysis workflows from scratch: collecting and cleaning data, finding what matters, and presenting it clearly through Python, SQL, Power BI, and Tableau.
3 end-to-end case studiesOpen to analyst rolesAvailable for select freelance data work
1,941matches analyzed
1,000books scraped
r = 0.028price–rating correlation
6competitions covered
5,000sales transactions
≈ $971Kmodeled 2025 forecast
01 / Two paths
Looking for an analyst—or need the work done?
The same discipline supports both: clear questions, defensible analysis, and outputs people can actually use.
For clients
Turn a messy data problem into a clear deliverable.
Get practical help with data cleanup, analysis, dashboards, reporting, or repeatable Python workflows.
02 / Selected work
Projects built end to end.
The work shows collection, validation, analysis, communication, and the limits of each result—not just the final chart.
Match 01 · Machine learning
Football match outcome analysis & prediction
Analyzed 1,941 matches across six European competitions to test home advantage and whether recent team form can predict outcomes.
- Accuracy
- 46.2%
- Macro F1
- 0.43
- Home-win reference
- 42.9%
Match 02 · Web scraping & BI
Book store analysis — scraping, EDA, SQL & dual dashboards
Built a 1,000-row dataset from scratch by scraping 50 pages, then made a second pass to collect category data.
- Books
- 1,000
- Price–rating correlation
- r = 0.028
- Dashboard tools
- 2
Forecast / 2025$971K
Expected sales
5,000 transactions · 2019–2024 historyMatch 03 · Forecasting
Amazon sales performance analysis & forecasting
Built an end-to-end analysis pipeline across 5,000 historical transactions covering 2019–2024.
- Transactions
- 5,000
- History
- 6 years
- 2025 forecast
- ≈ $971K
03 / Services
Practical data help with a defined handoff.
No vague transformation promises. Each engagement starts with a clear question and ends with documented work you can inspect and reuse.
Data cleanup & analysis
Turn an untidy spreadsheet, CSV, or database export into a reliable dataset and a concise explanation of what matters.
Best for: Small teams, researchers, founders, and operators with data but no clear answer.
Dashboards & reporting
Build a focused Power BI or Tableau dashboard that answers real operational questions without unnecessary visual noise.
Best for: Teams replacing repeated manual reports or scattered spreadsheet summaries.
Python data collection & automation
Collect authorized or publicly available information, organize it, and automate repetitive analysis steps with reproducible Python code.
Best for: Research, market monitoring, recurring data preparation, and repeatable analysis.
04 / Toolkit
Tools chosen for the question.
The method matters more than a long software list. These are the tools already demonstrated in the portfolio.
Analysis
Python · pandas · scikit-learn · statsmodels
Data & SQL
SQLite · data validation · exploratory analysis
Reporting
Power BI · Tableau · Matplotlib · Seaborn
Collection
requests · BeautifulSoup · reproducible notebooks