May 2025 – May 2025 · 0 mo · Mumbai, Maharashtra, India · On-site

Jan 2025 – Feb 2025 · 1 mo · Delhi, India · Hybrid

Nov 2024 – Jan 2025 · 2 mos · Delhi, India · On-site

Jul 2024 – Oct 2024 · 3 mos · Singapore · Remote

• Cut noise. Ship real value.
• Built Sleek’s first smart AI chatbot that didn’t just reply— it routed, segmented, and deflected like a product manager in disguise. Designed to auto-classify support queries with zero manual escalation, it scaled from MVP to deployable solution in weeks—fueled by relentless prompt tuning, segmentation logic, and user feedback.
• Led the overhaul of customer support flows across Zendesk for AU & UK, driving automation logic to match new product layouts and slash turnaround time.
• Doubled down on GTM strategy for Sleek’s global push—deep-dived into customer mindset, regulatory choke points, and unmet needs to sketch GTM maps that don’t just enter markets, but matter in them.

Jun 2024 – Jul 2024 · 1 mo · Gurugram, Haryana, India · On-site

• I didn’t just intern. I rewired flows, crushed inefficiencies, and shipped features that moved the needle.
• 🧠 Took a scalpel to OYO’s CMS for the Meeting Room vertical—diagnosed blind spots, killed dead weight, and rebuilt with strategic clarity. The result? Smoother ops, clearer customer touchpoints, fewer headaches for everyone downstream.
• ⚙️ Plugged in an online booking engine across 4 live products—handled everything from backend integration to UI logic. Built flows that customers actually use, not ones that look good in a slide deck.
• 📈 Injected cash flow and boosted retention by launching couponing + booking features—yes, the same ones that triggered a 14% MoM traffic spike.
• 🕵🏻‍♂️ Ran a no-BS competitive teardown. Translated market noise into strategy signals that fed directly into product prioritization.
• 🛠️ Didn’t “assist” in building PRDs—I owned them. From wireframes in Figma to full-stack logic, I designed like a builder, not a bystander.

Aug 2023 – Nov 2023 · 3 mos · Noida, Uttar Pradesh, India · Remote

• Worked like a PM, thought like a growth hacker, delivered like retention was oxygen.
• 📊 Dissected VoC data from 90M+ Paytm Wallet users—segmented the chaos into 15+ reactivation use-cases, each tailored to hit dormant users where it matters.
• 🧨 Ran deep dives on 5+ top-tier competitors—reverse-engineered their best growth levers and dropped 6 feature recommendations (from KYC journeys to Referral engine rewires) that helped fuel a 135% spike in reactivation velocity.
• 🎯 Built a sample cohort of 750 users per use case—not hypotheticals, but statistically sharp reps. Pulled data via SQL + Excel, no shortcuts.
• 🗣️ Sat across 500+ customer convos. Dug past surface-level feedback to extract raw, actionable pain points. Turned insights into 4 cold-blooded reports, pitched directly to Paytm’s leadership.

Jun 2023 – Jul 2023 · 1 mo · Bengaluru, Karnataka, India · Remote

• Sat next to the founder. Built systems, not slides.
• 📈 Architected lean AI-powered growth campaigns—mapped sales trajectories, predicted demand trends, and translated chaos into campaigns that actually performed.
• 🤖 Built a zero-code lead gen pipeline from scratch using a stack of AI tools—kept it under ₹4.5K budget, scaled like a paid engine.
• 📊 Designed an automated flow that pulled Google Analytics data, ran metrics in the background, and turned campaign performance into actionable dashboards.
• 🎯 Hit a 1.5% CTR on outbound collab campaigns—no ad spend, just smart targeting, sharp copy, and a strategy designed to sustain growth, not spike it.

May 2023 – Jul 2023 · 2 mos · Remote

• Where most saw hype, I built structure.
• 🛠️ Led the product vision and execution across 6 Web3 and Blockchain projects—from concept to ship, balancing decentralization with delivery.
• 👥 Commanded a 90+ contributor army, deploying lean ops, modular roadmaps, and tactical task routing to ensure every sprint hit its mark.
• 🔁 Built robust communication loops, realigned fragmented workflows, and enforced project velocity—delivered milestone after milestone in a space defined by ambiguity.

May 2023 – Jul 2023 · 2 mos · Remote

• 🚀 Engineered a 50% surge in user base by flipping the product inside-out—launched retention-first features, rebuilt core journeys, and stopped user churn dead in its tracks.
• 💸 Integrated seamless payments to unlock premium mentorship—boosted paid conversion and user retention by 35%, turning one-time users into sticky power users.
• 🧠 Designed and deployed a review engine that did more than collect stars—it extracted actionable insights and fed them straight into product improvements.
• 🛠️ Shipped 5 high-impact features from scratch: resume builder, task manager, group chat, meeting scheduler, and a real-time notification tab—resulted in a 12% MoM spike in site traffic and long-session stickiness.
• 🕵🏻‍♂️ Ran deep competitor espionage, led GTM alignment, and collaborated across growth, marketing, and the founders’ office to completely overhaul the mentor onboarding flow—cut drop-offs by 16% and scaled up mentor quality.

May 2023 – Jun 2023 · 1 mo · Gurugram, Haryana, India · Hybrid

Apr 2023 – Jul 2023 · 3 mos · Kharagpur, West Bengal, India · Remote

• Where data met creator economy ROI.
• 🧠 Engineered high-precision scrapers using BeautifulSoup and Requests, extracting over 10,000+ influencer data points from YouTube & Instagram—including followers, engagement, gender demographics, and content style.
• 📊 Co-developed an automated ROI reporting system using ReportLab + HTML/CSS—transforming raw data into sleek investor-ready documents that guided partnership decisions.
• 🧮 Leveraged BigQuery & SQL to dissect influencer profiles—equipping the data ops team with audience intelligence, engagement trends, and creator conversion forecasts.

Mar 2023 – May 2023 · 2 mos · Kharagpur, West Bengal, India · Remote

• 🧩 Dived into the intersection of national culture and entrepreneurial intent, using behavioral analytics to decode investor-entrepreneur dynamics across geographies.
• 📊 Scraped and processed 500+ YouTube videos using Python (BeautifulSoup), gathering engagement and sentiment metrics to support empirical modeling.
• 📈 Explored complex graph structures using SNAP and Kronecker models to simulate social media node behavior and entrepreneurial influence propagation.
• 🧠 Collaborated on designing the framework to test how cultural dimensions affect startup funding and founder risk appetite—laying the foundation for cross-cultural investment insights.

Oct 2022 – Mar 2023 · 5 mos · Kharagpur, West Bengal, India

• 1. Coordinated to organize many events.

Oct 2022 – Oct 2022 · 0 mo · Remote

• ● Used Pygame module and contributed in various repositories
• ● Made games like snake and apple game, Space Invade Game