APM @eSthira Mobility | Python · SQL · Power BI · AI Product Thinking | PM fellow @Airtribe

Bengaluru







Bachelor, Information Science and Engineering
Amc Engineering College
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I'm a 2025 fresher who doesn't know if I want to be a 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐨𝐫 𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭. Both? Either? Whichever one calls back first? Here's what I do know: I've built an XGBoost model on 21,000+ GitHub profiles that predicted developer risk at >95% precision. I caught a data leakage bug in a 49,000-row dataset mid-project and fixed it instead of pretending it didn't exist. I scraped 300+ college websites and built an ROI metric because rankings felt like a lie. That's the analyst side. The PM side is: I kept asking "𝒃𝒖𝒕 𝑾𝑯𝒀 𝒅𝒐𝒆𝒔 𝒕𝒉𝒊𝒔 𝒇𝒆𝒂𝒕𝒖𝒓𝒆 𝒆𝒙𝒊𝒔𝒕" during every project until my teammates wanted to mute me. That apparently has a job title. So now I'm doing both. Enrolled in an 𝑨𝑰 𝑷𝒓𝒐𝒅𝒖𝒄𝒕 𝑴𝒂𝒏𝒂𝒈𝒆𝒎𝒆𝒏𝒕 𝒄𝒐𝒉𝒐𝒓𝒕 (𝑨𝒊𝒓𝒕𝒓𝒊𝒃𝒆). Grinding SQL on StrataScratch. Building dashboards nobody asked for in Power BI. Applying to internships that ask for product teardowns instead of resumes — which is the only sane way to hire, by the way. What I'm actually good at: → Python (Pandas, NumPy, Scikit-learn, XGBoost) → SQL — window functions, joins, the uncomfortable ones → Power BI (DAX, not just drag-and-drop) → EDA, ETL, data cleaning (the 80% nobody talks about) → BeautifulSoup, Django, REST APIs → Asking "why" one too many times What I want: A DA or PM internship where I can do real work. Not shadow someone. Not make decks. Real work. Based in Bangalore. Will relocate to Chennai for the right role. GitHub: github.com/tashok7003 StrataScratch: stratascratch.com/u/tashok7003 (Yes, I used AI to help write this. I also told it exactly what to say and made it redo the parts that felt fake. We're figuring out the philosophy together.)
Bengaluru
antigravity
claude code
deepseek
gemini
grok
mistral
Associate Product Manager at eSthira Mobility, Jul 2026 - Present · 2 mos, Bengaluru
Bachelor, Information Science and Engineering, Amc Engineering College