Data Aficionado and F1 fanatic
All things Product and Tech
These are some projects and case studies I worked on which I found particularly interesting. Check it out!
01
The Problem Product teams are often drowning in raw text—support tickets, tweets, and emails. Identifying critical pain points in the User Journey requires hours of manual sorting. I wanted to build a tool that turns this "noise" into an instant visual "signal."
The Solution: I vibe coded Product Pulse, a real-time analytics dashboard. It takes raw text input, processes it through an LLM to extract intent and emotion, and maps it onto a color-coded heatmap. This allows a Product Manager to see, at a glance, if the "Billing" feature is on fire or if the "New UI" is a hit.
02
AI Agent Suite for Sales & Support Automation
Tools: n8n, Relevance AI, OpenAI API, Firecrawler, Twilio Developed 3 AI-powered agents to automate key business functions: -Sales Co-Pilot – researches prospects and prepares pre-sales report
-Lead Qualification Bot – qualifies inbound leads autonomously -AI Support Agent – handles customer queries across channels, including voice via Twilio
03
Developed a Python-based solution analyzing 100,000+ data points to deliver customer behavior insights for an FMCG store. Enhanced dataset quality through preprocessing and achieved a 90% accuracy in predicting customer churn using fine-tuned ML models
04
This project dives into how investor emotions, expressed through news and online platforms, can influence stock prices. Using machine learning and NLP, we analyzed financial sentiment to support smarter investment decisions. The result? A model that helps identify when the market mood might swing — bullish or bearish. Curious to see how sentiment meets strategy? Check it out!
05
This project exercise was done to show another user segment of non-subscribers of Netflix, the potential ones, yet not addressed enough. The untapped Indian market. A thorough research into the customer journey, the pain points and figuring out the problems in the current marketing funnel. Check it out!
06
Now that we have our pain points, let's brainstorm some solutions to solve them. Once we have our solutions, I prioritized them using RICE framework, established user stories and success metrics for development. Take a look!