Served as the pioneering growth & strategy hire on the team working directly with the co-founder, initiating and
steering expansion strategies and initiatives
Analyzed cohort performance based on their origin date to provide visualizations for business teams, helping them
understand customer retention, GMV retention, and payback periods. This analysis enhanced the focus on optimizing profitability per customer segment
Crafted a scalable organizational structure for new revenue streams, driving the development of cross-functional
capabilities in terms of tech, infrastructure, KPIs and performance-tracking mechanism
Developed the company’s first-ever Growth Model based on the Viral Coefficient optimization, pioneering a strategic
framework for scalable expansion
Led the discovery to revamp the rewards module with an experimental approach, leading to a 6% increase in
retention and enhanced customer loyalty for the treatment sample
Co-led the discovery for the user journey revamp, leading to the launch of new app flows and a significant boost in performance metrics: a 5% increase in conversion rates and a 30% rise in Net-GMV
Segmented customers according to a unique RFMS model and devised a communication strategy tailored to their
buying cycles, which helped increase conversion rates by 6% and LTV by 20%
Automated hourly reporting of business metrics and Play Store reviews via a Slack bot, enabling stakeholders to
take quick, informed actions on strategies and performance
Managed the creation of the company’s first investor data room used as a source of truth for investors in raising
DealCart’s Pre-Seed & Seed Rounds
Identified Core Product & Growth Metrics and created Dashboards to track Daily, Weekly, and Monthly KPIs
including Traffic, Funnels, User Behavior, etc
Led the development and automation of a fraud detection and prevention mechanism, safeguarding approximately
$25,000 in promotional discounts
Designed and implemented 40+ A/B tests, resulting in a 8% improvement in conversion rates and a 20% increase
in customer engagement metrics
With Product Industry Booming and many startups coming into the bigger picture, it's necessary for us to understand the science behind those products, how they work, what goes behind the operations, and demystify their business and operational model. Product Centric aims to demystify the products and decode the science behind those products. 🧑🏻‍💻
February 2022 - June 2022
Thoroughly researched the security camera market in the USA and drafted a detailed comparison, resulting in gaining a competitive edge
Successfully crafted the product strategy, messaging, and cut sheets for OneScreen Cloud Studio, leading to the company's first-ever recurring revenue stream
Leveraged data analysis and market assessment to identify opportunities to optimize pricing, boosting revenue and
profitability for for OneScreen T6 & T7 across USA Market
Designed experiments for A/B testing, determined appropriate metrics and KPIs & performed statistical analysis
to validate complex hypotheses & communicated results with key stakeholders
September 2021 - January 2022
Worked with Backend Technologies including Django, PostgreSQL, Elastic Search,
etc
Worked on Chikoo App that is a quick E-Commerce solution for local store owners.
Used Amplitude to do Funnel Analysis, Event Segmentation, and Retention Analysis
and identified the events that led to higher retention rates.
Mapped out user journeys keeping in view different available parameters in the
user journey.
Implemented Referral System using Flutter and Firebase Dynamic Links.
Tools and Technologies I worked with:
- Amplitude Analytics
- Flutter
-
Firebase Dynamic Links
-
ReactJS
February 2021 - March 2021
Worked on different projects that included working with HTML, CSS, Javascript,
and Django.
Co-ordinated with different clients to gather requirements and decide the scope
of the project.
Implemented an E-Commerce Website for a client using Django Framework.
July 2020 - December 2020
Selected as 1 of 30 interns out of a pool of 500+ Applicants.
Learned different Machine Learning Algorithms by Practical Implementation
Worked on the implementation of Single Frame Image Super Resolution.
Studied different approaches to Single Frame Super Image Resolution and
implemented ESRGAN and SRCNN papers.