Sep 2019 – Apr 2021 · 1 yr 7 mos · New Delhi Area, India

• Proposing and enacting product roadmaps to ship data-driven features. Collaborating with Engineering, Design and Data Science team for timely execution of sprint cycles.
• Vibe by Hike - a new casual dating app to form meaningful friendships*
• Building a magical place where people can make relationships over shared experiences while being their funnest, most expressive selves online.
• Managing end to end product lifecycle of Vibe, planning/roadmap to launch and go-to-market strategy.
• HikeMoji - Avatars and HikeLand *
• Refined product-market fit by launching new features - HikeLand Watch Together, User Generated Stickers.
• Extensively using Python, Google BigQuery, Tableau and A/B testing for analyzing the impact of product features.
• Initiated User Acceptance Testing to vet out the implementation prior to the release.
• User Profiling, Activation and Retention *
• Defined Aha Moment for Hike by identifying 4 key D0 actions which distinguished retained users from churned users, leading to an increase in D1 retention by ~2%.
• Conceptualized the adjacent user theory into action by making changes in onboarding. Led to 2x users completing key actions resulting in higher % of users activated by D7.
• Devised a new Network A/B experimentation framework which removes social network bias effect.

Jul 2018 – Aug 2019 · 1 yr 1 mo · Gurgaon, India

• Customer Experience *
• Improved Customer Onboarding by remodelling the signup flow, increasing sign up success rate from 75% to 86%.
• Improved Funnel Conversion % by optimizing drop-downs at different steps of the user’s transactional journey.
• 1mg Subscription Plan *
• Worked on launching a subscription plan with Product to provide an integrated healthcare experience to our users, leading to better user retention and 2x order frequency.
• Performed unit economics, benefit utilization and similar cohort comparison analysis to find net incremental benefit per subscription plan sold.
• 1mg Labs - Diagnostics *
• Built ML Model to predict the propensity of a 1mg Pharmacy user transacting on Diagnostics based on clickstream and transactional data to optimize customer targeting and transactions.
• Added additional entry points to increase cross-sell among business units by 25%, further optimized current product listings to improve average selling price by 15% for Diagnostics vertical.
• Introduced slot-based pricing for blood sample collection to flatten the demand curve.
• Performed user segmentation on the basis of user’s transactions history using K-means Clustering to develop a profound understanding of user cohorts.
• Defined business KPIs and built processes around their structured reporting in Tableau.
• Drove end to end data analysis for new feature launches and A/B experimentation for product changes, from data capturing to Impact Analysis, Insights to future actions.

May 2017 – Jul 2017 · 2 mos · Gurgaon, India

• Got an oppurtunity to work on large chunks of data and make useful insights out of it, which could eventually help company and its clients make smart business decisions. Worked on following major projects there:
• Trained models using Machine Learning models(Linear Regression, Random Forest, XG Boost, Decision Trees) in python which suggested user actions based on data recorded for his past behavior
• Defined major usecases for product like Smart Power Plug, Door Sensor which would improve customer's convenience, safety & security.
• Models were trained by correlating influence of Variables such as (Weekday, Timestamp of other IOT devices, Temperature, Location(GPS)) on Dependent Target Variable
• Worked on Development of Smart Home IoT products by extracting data recorded on PostgreSQL Server and improve user experience after Exploratory Data Analysis
• Created Excel & Tableau Dashboards for Informative Visualization of Sales, Campaign Performance and Sensor Data
• Did trend analysis to monitor performances of client campaigns in terms of Reach and Conversion Rate

May 2016 – Jul 2016 · 2 mos · Penang, Malaysia

• Worked at USM on seven projects during my internship there. Performed following responsibilities as part of projects:
• Analyzed helmet and indicator usage data at an intersection, to find the correlation with number and severity of accidents
• Finally suggested the return period of a particular severity grade of an accident for that intersection
• Determined the impact(increase in traffic) on nearby junction due to Proposed Development using excel
• Built up strategies for reducing the impact by improving Level of Service (LOS) post Construction
• Worked on project idea of finding Trip Generation rates for Gas Station and Convenience store with fast food restaurants.

Dec 2015 – Jan 2016 · 1 mo · Mathura Area, India

• Some of the topics on which I worked there were
• Treatment Of Industrial Waste before disposing via "Effluent Treatment Plant"
• Design of storm water drainage system

Jul 2015 – Oct 2015 · 3 mos · IIT Roorkee

• As a member of GOC-Public Relations and Marketing, promoted Thomso in numerous colleges and bought a significant number of new participants to the fest. Assigned tasks to about 60 first year students on daily basis throughout the preparation time. Suggested and implemented new ways for promotion and marketing to boost participation.

Jan 2014 – Jan 2017 · 3 yrs · IIT Roorkee

• I was selected as manager of Marketing and Public Relations to get maximum participation from various colleges. I got this opportunity because of my owning up responsibility and results of my work in THOMSO 2014 & 2015
• Led a team of 150 members as Manager(Public Relations & Marketing) - Thomso’16
• Based on registration data of 2014, 2015 and Google analytics data from 2016 created useful dashboard and insights to identify our weak spots in terms of participation whole intent was to analyse real time data region wise and strategically plan & approach those regions.
• Successfully generated 170% of revenue (50 Lakhs) due to participation as compared to Thomso’15
• Worked with Campus Ambassadors of around 180 colleges to generate maximum participation
• Brought 200 new colleges to the database with Campus Ambassador program drafted & executed by me