Pune, Maharashtra — where the weather is unpredictable and so are the databases.
Data Analyst at BP by day, data wrangler by night. I speak Python, SQL, Excel, and just enough Spanish to survive a refinery call. Currently on a mission to turn messy datasets into clean insights — and coffee into code.
Python, SQL, R, VBA, C, Java — Python is my love language, SQL is my second, VBA is the one I use when Excel needs to do more than it planned to.
MySQL, SQLite, Oracle, MS Access, MongoDB, SAP, Salesforce — I've asked a lot of databases some very personal questions.
Advanced Excel, Power BI, Macros, Django, Jupyter Notebook, GitHub, REST APIs, VS Code — yes, including pivot tables and all the D&B/Aravo compliance platforms nobody warned me about.
Data Analysis, Master Data Management, Compliance Reporting, Dashboard Building, Problem Solving — I debug code and stakeholder expectations with equal patience.
Institute of Management and Career Courses, Pune
Survived group projects. Mostly.
Brihan Maharashtra College of Commerce, Pune
Learned that "big data" is just regular data with trust issues.
Savitribai Phule Pune University
Where it all started — and where I first learned to Google errors.
BP (British Petroleum) — Pune, India
Supporting Spain Refinery operations by wrangling large datasets — cleansing, validating, and making them audit-ready. Armed with Advanced Excel, VBA, SQL, SAP, and a growing Spanish vocabulary (because why not).
BP (British Petroleum) — Pune, India
Tax Analyst with a data twist — managing customer master data, ensuring regulatory compliance, and making Salesforce and SAP talk to each other politely. Turns out tax data has feelings too.
Evoastra Ventures — Remote
Scraped, cleaned, and analysed car market data from CarDekho.com using Python and SQL — then made it look good in Power BI. Learned that used-car pricing is basically controlled chaos.
BMCC — Pune, India
Taught Microsoft Excel to B.Com undergrads — formulas, pivot tables, and the art of not panicking when your VLOOKUP returns #N/A. VLOOKUP is either a best friend or a nemesis. No in between.
Built with Python (Django) and SQLite. Users can sign up, log in, and get recipe suggestions — because the real secret ingredient is good authentication.
A Django & Razorpay-powered marketplace for pre-loved books. Complete with search, reviews, and a checkout flow that actually charges the right amount.
Pulls real-time news via APIs and lets users filter by category — because doomscrolling should at least be organised.
Infosys Springboard
NPTEL, IIT Madras
Besant Technologies
IBM
ExcelR