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Case Studies
Project #1: OTC Cross Selling: Recommendation System (2024)
In order to improve cross selling in the sales team, I vibecoded an end-to-end recommendation system
Objective: Sell more over-the-counter products via sales team
Pain point: Agents didn’t know what to sell
Hypothesis: Customers buying medicines of a particular therapy will buy over-the-counter products used for the same therapy
Approach: Leverage internal database of therapy tagging to map high sales, high margin products to each therapy which mapped against each medicine
Medicine <> Therapy <> High sales, high margin OTC products
User Journey:
- Login: To prevent unauthorized logins and access to proprietary data
- Search: By product name / code
Searching for a product name/code surfaces the recommendation card using the Medicine <> Therapy <> OTC mapping. The search was made forgiving in order to allow typing mistakes by agents.Cus
- Recommendation Card: Recommendation card schema surfaces the following data critical for the sales staff to understand the customer: a. Disease tagged to the medicine with explanation b. Medicine Manufacturer Name c. Sales Rank (sample data shown above) d. Drug Schedule as per Drugs and Cosmetics Act, 1945 b. Helpful tips for pharmacists, vetted by an experienced doctor c. OTC recommendation basis matching therapy, which consists of: i. Product name ii. Product Code and Link iii. Company name iv. Category These recommendations were mapped to ensure likelihood of sales (high repeat products), high sales volume and cross-category coverage.
Results and Learning:
Initial boost in sales at a small scale, however, this could not be scaled beyond a further point as customers were pitched OTC products which they had not seen and were not familiar with the use case for and agents were not aware of use case for each product, hence we faced resistance from the team as well. At the scale of product recommendations (2000+ possible recommendations!), it was hard to catalog the usecase for every product without massive efforts on content writing, hence we pivoted.
Project #2: OTC Cross Selling: Recommendation System (2025)
With the learnings from the first experiment, I iterated a second time, cut down all the clutter and made it a nearly mindless task for agent to pitch OTC products
Objectives: To cross-sell only those products which customer had already bought
Approach: Leverage customer purchase history available on the portal -
- Entire list of OTC products encrypted in base64 and fed into a Chrome extension
- When user is on order page / customer history page, pick up all the matching OTC products and surface to the user along with category data
Zero clutter. Zero effort in educating the agent about what the usecase for product is.
🚀 Results:
OTC Sales / agent skyrocketed 2x within a month as agents had to apply much lesser effort in figuring out usecase of a particular product as compared to just offering to “refill” the product. Customers being reminded of products they might need on a daily basis worked wonders for their experience as well.
Flipkart APM Deck (2022)
👆👆👆 Got selected for Flipkart’s selective APM shortlist - which selects candidates only on basis of the deck and not resume.
Chose the topic as I strongly related to the problem - since I didn’t have enough time to conduct user research, I used some widely known data points and my personal experience to tackle the issue.
Grofers APM Deck (2022)
👆👆👆 Got selected for Grofers’ selective APM shortlist
Not my best presentation since I had to get done with it in 2.5 hours, but I kept it stylish and methodical enough to make it through. (2025 update: Blinkit was still Grofers back then)
Problem Statement
You have been hired by the road transport authority of a city in India to help them solve the
rising traffic issues. You will have to make a presentation to define the following
- reason for the increase in traffic
- propose short term and long term solutions. The solutions need to be supported with a business case on feasibility & return on investment. Consider any of the following cities - Mumbai, Bangalore, Pune or New Delhi which are the cities with the worst traffic problem.
Inter-IIT Tech Business Case Competition
👆👆👆 Won Silver Medal in Inter IIT High Prep Competition
Mood Indigo App Mockups
👆👆👆 Mockups for Mood Indigo App, then converted into the #1 Trending App in Play Store India by our talented Web team.
Technical/Academic Projects
Laser Microphone | Institute Technical Summer Project, IIT Bombay
Project Details
- Developed a prototype capable of recording sound by capturing reflection of light off of surfaces
- Optimized the project budget to INR 500 and wrote a script in Python to reduce noise significantly
Analysis of the Dry Cell | Guide: Prof. Sudhanshu Mallick
Project Details
- Employed techniques such as X-ray powder diffraction, Energy-dispersive X-ray spectroscopy and scanning electron microscope to determine the composition of dry cells of brands such as Duracell and Eveready and performed a comparative analysis of the two
- Studied the phenomenon of leakage in alkaline cells, its causes and repercussions
Material Analysis | Guide: Prof. Parag Bhargava
Project Details
- Dismantled the entire structure of the mobile phone model Nokia 3310, analyzed the extraction of its components’ materials on the basis of the components’ functions
- Highlighted some major manufacturing processes of components such as press moulding
- Investigated the role of materials required for manufacturing the liquid crystal display of mobiles in the dominance of China as the world’s largest producer of mobile phones
