I'm a Data Analyst who got here through operations, not a classroom. I spend most of my time turning messy, manual reporting into systems that update themselves, using SQL, Power BI, BigQuery, and Python. Currently supporting engineering program analytics after starting out in LiveOps analytics for a fantasy sports product.
- 🔭 Recently automated reporting for 72 engineering squads and 200+ Jira projects
- 🧩 Comfortable across Data Analyst, Data Engineer, and Business Analyst work
- 🌱 Currently working toward the Microsoft PL-300 (Power BI Data Analyst Associate)
- 📫 Reach me at audumbar2798@gmail.com
| Data Analysis | SQL, cohort/funnel analysis, A/B testing, Power BI & Tableau dashboards |
| Data Engineering | ETL pipelines in Apps Script & Python, BigQuery modeling, data validation |
| BI & Ops | Stakeholder reporting, KPI design, SOPs for cross-functional teams |
- Tournament & Player Data Automation Platform — Python, Selenium, BeautifulSoup. A multi-module scraper collecting and normalizing cricket tournament data from ESPNcricinfo, cutting manual data entry by 90%.
- PlayerCard-Validator — Google Apps Script, Python. Role-aware validation engine catching mismatches across 6+ attributes, cutting QA time by 70%.
- Credit-Risk-Analysis-EDA-Case-Study — Exploratory data analysis identifying risk patterns in loan applicant data.
- Tableau Superstore Dashboard — Sales and profitability dashboard built on the classic Superstore dataset.
