I BUILD THE PLUMBING BEHIND THE DASHBOARD.
I'm a Computer Science engineer specialising in Data Science, and most of my work lives in the unglamorous layer that everything else depends on: the pipeline, the validation, the query that has to come back in under a second.
I started in data engineering internships building ETL pipelines at HCLTech, moved through automating manual reporting workflows at ONGC Videsh, and today I'm a QA Engineer at Careers360, where I reconcile source-to-target ETL flows in SQL and wire data-integrity checks straight into CI/CD.
Outside of that I build models and make them explain themselves. My credit-risk platform OPTI-Recourse pairs XGBoost with SHAP and LIME so a rejection comes with an actual reason and a route back. The methodology is peer-reviewed and published in IJSREM.
The thing I'm most proud of is Data Desk, a database investigation platform I built because I was tired of writing the same SQL every day. It's open source now, with proper tests, docs and an auth system, and it's the clearest thing I can point at when someone asks what I can actually do.
- 01VALIDATE BEFORE YOU VISUALISE.
- 02IF IT RUNS TWICE, AUTOMATE IT.
- 03A MODEL THAT CAN'T EXPLAIN ITSELF ISN'T FINISHED.
- BASED IN
- Delhi NCR, India
- CURRENTLY
- QA Engineer, Careers360
- FOCUS
- Data Engineering, Analytics, Data Quality
- EDUCATION
- B.Tech CSE (Data Science), 2023–2026
- PUBLISHED
- IJSREM, credit-risk explainability
- OPEN TO
- Data Engineer / Analyst roles
- RANDOM FACT
- 🛠️ Wrote 384 tests for a tool only I was using. Worth it.