Ayush Kedia

Product Manager

Bengaluru, Karnataka, India10 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Recipient of CEO Award for Customer Excellence
Developed multiple algorithms for grocery business optimization
Led strategic decision-making in grocery analytics

Stackforce AI infers this person is a Product Manager specializing in E-commerce and Healthcare analytics.

Contact

Skills

Core Skills

Product ManagementCustomer Journey MappingAnalytical Skills

Other Skills

LeadershipMatlabMicrosoft ExcelProblem SolvingProduct Lifecycle ManagementPublic SpeakingSQLStatistical Data AnalysisTeamwork

About

I am working towards making grocery shopping experience delightful and memorable. With a foundation in strategy and innovation, I leverage customer journey mapping to identify and address user pain points, ensuring a seamless and enjoyable shopping journey. My expertise lies in problem solving, product management and data analysis, skills honed through 3+ years as Product Manager. These skills enable me to tackle complex challenges, particularly in optimizing the online grocery shopping experience. By adopting a user-centric approach, we're working to make grocery shopping on Flipkart a delightful and intuitive process for millions of users.

Experience

Flipkart

5 roles

Senior Product Manager

Promoted

Apr 2025 – Present · 11 mos

Flipkart Storefront and CRM

Product Manager II

Apr 2023 – Mar 2025 · 1 yr 11 mos

Product ManagementCustomer Journey MappingPublic SpeakingProblem SolvingProduct Lifecycle ManagementAnalytical Skills

Product Manager I

Aug 2021 – Mar 2023 · 1 yr 7 mos

Product ManagementCustomer Journey MappingPublic SpeakingProblem SolvingProduct Lifecycle ManagementAnalytical Skills

Senior Business Analyst

Promoted

Feb 2019 – Jul 2021 · 2 yrs 5 mos

Recipient of the CEO Award for Customer Excellence for outstanding effort in shaping Grocery business through innovation; expanded category to 5 metro cities
Created a price elasticity algorithm to come up with the right pricing strategy for Grocey products (Algorithm XGBoost)
Created a customer acquisition algorithm to identy target user cohort
Created an algorithm to forecast sales of every product sold on the Grocery platform based on offer and visibility (Algorithm: Random Forest)
Identified levers for 1-month customer retention, defined ideal retention metrics (Algorithm: Random Forest)
Won the Flipkart Analytics Hackathon 2019
Took a sabbatical from July 2020 to June 2021 to do MBA

Problem SolvingAnalytical Skills

Business Analyst

Dec 2017 – Jan 2019 · 1 yr 1 mo

Part of the Supermart (Grocery) core team that helped conceptualize the Grocery shopping model
Drove the development of a breadth of verticals from Category and Supply Chain to Inventory
Management
Defined the Grocery Analytical framework- from devising metrics to building all reporting capabilities
Steered strategic decision-making through assessing the impact of different Business Units on Flipkart platform in terms of cross-sell and lifetime value of customer
Designed a slot optimization and pricing framework generating an increase in productivity per van
and a cascading impact on cost per shipment
Member of the Flipkart Analytics Events team; organised Analyst Day and offsite

Problem SolvingAnalytical Skills

Dell technologies

Global Fulfillment, Logistics and Trade intern

Jun 2021 – Jul 2021 · 1 mo · Singapore

Mu sigma inc.

Trainee Decision Scientist

Oct 2016 – Nov 2017 · 1 yr 1 mo

I worked on marketing and sales force analytics for a global biotech pharmaceutical company. The work involved assisting the client in making informed data driven decisions in order to enhance the market performance of the firm's drugs, thereby driving its growth as well as providing relevant information to the stakeholders.
Skills used: VBA, SQL, SAS, R
Projects:
1. Enterprise Data Operations:
Created and maintained weekly and monthly dashboard based reporting platforms for the leadership and the sales team of a major pharmaceutical firm.
Developed KPI trackers to track the drug’s performance against the forecasted numbers and generated marketing and business insights to provide competitive intelligence for multiple drugs in the market.
Created R Shiny dashboards to move the entire reporting from Excel to R, thereby enabling easy processing of data and making the entire process highly user interactive.
2. Sales and Operation forecast:
Developed an S&OP tool to forecast the weekly Latest Best Estimate (LBE) numbers based on the statistical insights for different drug markets.
3. Rapid Data Quality Analysis:
Developed a statistical engine to analyze the early view data and identify potential outliers based on the historical and current market trend.

Analytical Skills

Students' gymkhana, iit(ism) dhanbad

President

Aug 2015 – May 2016 · 9 mos · Dhanbad, Jharkhand, India

Indian institute of technology, bombay

Research Assistant

May 2015 – Jun 2015 · 1 mo · Mumbai

I worked on the 'Consolidation modelling of mine waste tailings'. I had made a model in MATLAB which basically calculates the time factor, degree of consolidation, pore pressure, settlement, etc at different time intervals. Its the same CS2 model that had been programmed in .NET by Patrick J Fox and James Berles in 1997. The model accounts for large strain, small stain and self weight induced stress.

Tata steel

Trainee

Dec 2014 – Dec 2014 · 0 mo · west bokaro

The project assigned to me was the "Feasibility study on the cost effective sulphate removal from water." We had to suggest innovative ideas to decrease the sulphate content, as per the standard value and make sure that the whole process is economical. Special emphasis was laid on the disposal of sludge obtained from the removal of sulphate from water.