Vivek Dixit profile photo 1 on Tal

Vivek Dixit

Product

Bengaluru

10+ years of work experience

Apr 20265 mosPresent

• Spearheaded the launch and scaling of free-to-play games for the Sky Brand, enhancing user engagement and game play. • Developed a scalable system for cross-selling betting markets and promotions, driving revenue opportunities. • Created innovative engagement loops for free-to-play games under the Betfair brand, improving user retention
Jan 20251 yr 3 mosMar 2026

Bengaluru, Karnataka, India

• Spearheaded the re-imagination of the User Lobby, enhancing user engagement and daily revenue. • Introduced Picture in Picture technology to the gaming industry, elevating user experience. • Perfected the Referral Flow, bridging user trust gaps and improving satisfaction. • Transformed the transaction experience on the application home page for better usability.
May 20222 yrs 8 mosDec 2024

Bengaluru, Karnataka, India

• Led the development of the Rummy While Label App, enhancing user engagement and experience. Conducted and analyzed 20+ A/B experiment on the modules - • Revamped the referral module to boost user acquisition and retention. • Improved the Install to Registration process by optimizing the OTP resend flow. • Enhanced new user retention by refining the user journey and implementing a rewarding experience.
airtel X Labs
Mar 20211 yrFeb 2022

Gurugram, Haryana, India

1. Assisted in Polygon structure creation to identify high intent leads 2. Led the deployment of microsite for retail stores. 3. Played key role in transitiong from legacy service tool to advanced portal for tracking retail customer movement and employee efficiency. 4. Played pivotal role in getting structure data from third party clients and minimise data quality gaps. 5. Created the Retail store analytical data flow from scratch.
Tredence Inc.
Mar 20201 yr 1 moMar 2021

Bengaluru, Karnataka, India

Managed a product team for Analytics based AI product
Tredence Inc.
Nov 20191 yr 3 mosJan 2021

Greater Bengaluru Area

Project: 1 Store Driver Model Working for a fortune 500 clothing brand USA. Created a store driver model to enhance Sales by pointing out significant factors attributing to it. Store Clustering (K-Mediods and K-Means) was done to segment same stores together. Regressions implemented were Random Forest and XG Boost Sales prediction for the each store was done using Panel Data Regression. -Decile analysis on sales of different order type w.r.t to Employee for bonus distribution. -Regional markdown analysis of top and bottom deciles. -Damage Analysis: Provided key insights to reduce damage, based on Pareto Analysis and word count algorithm there by impacting significant reduction in reversals of damaged units for few categories. Project - 2 Assisted in building IOP (Integrated Operation Planning). Product which ensures better decision and planning for inventory and resource management for retail clients to optimize the delivery time. -Key Modeling Approaches for Inventory Forecast: Champion Model (winner from FbProphet, ARIMA, Random Forest) -Heuristic Model for Carrier and Workforce planning -Model measures for accuracy : WAPE/MAPE and BIAS -Project 3 - 360 degree e-compass product Tool provides the capability to vendor to continuously monitor the listed product performance on the E commerce site. Key Modeling features- daily scrapping the ecom site for tracking product performance. Implementing sentiment analysis via NLP for product reviews. Provided capability of simulator based on: Parametric Approach: Applying Linear model on product clusters to get key actionable/quantifiable drivers to assist the client decision for next week feature addition on products. Non Parametric Approach: Marked top 10 factors from RF and implemented ANN to project next weeks sales with manipulation in the 10 important factors.
LatentView Analytics
Apr 20198 mosNov 2019

• Analytics Manager to the Electronic Payment Services (EPS) team for a leading search engine provider Google client • Collaborated with stakeholders on diverse projects, including data anomaly investigations and trend analysis. • Developed web applications to automate processes and created automated reports and dashboards for business insights.
LatentView Analytics
Feb 20181 yr 2 mosMar 2019

Bengaluru, Karnataka, India

Refund Analytics Manager for Google Client
Cognizant
Sep 20152 yrs 5 mosJan 2018

Greater Chennai Area

Worked majorly in the field of Data-warehousing and Business Intelligence. Some of my responsibilities for this position included: 1. Working closely with the ETL Lead, Solution Architect, Data Modeller, Data Mapper, Business Analysts to understand business requirements, providing expert knowledge and solutions on Data Warehousing, ensuring delivery of business needs in a timely cost-effective manner. 2. Identifying gaps/areas for improvement. 3. Identifying opportunities to optimize the ETL environment, implement monitoring, quality and validation processes to ensure data accuracy and integrity. 4. Improved reporting for file delivery by Tableau dashboards.

Vivek’s AI Stack

claude code
claude code
claude
claude
gemini
gemini
lovable
lovable
perplexity
perplexity

Education

National Institute of Technology Raipur

Bachelor’s Degree, Metallurgical Engineering

National Institute of Technology Raipur

20114 yrs2015

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Headline

Product

About

With 11 years of experience in product management and analytics in varied domains of -Insurance -Payments -Retails -Telecom -Real Money Gaming I am dedicated to enhancing user engagement and satisfaction through innovative product solutions. Currently at Junglee Games, I focus on optimizing the referral experience, onboarding processes, and gameplay features to align with the organization's mission of delivering seamless entertainment. By leveraging a collaborative approach and diverse perspectives, I aim to create user-centric products that foster growth and retention.

Location

Bengaluru

AI stack

claude code

claude

gemini

lovable

perplexity

Work experience

Product Manager 2 at Flutter Entertainment [Junglee Games], Apr 2026 - Present · 5 mos, • Spearheaded the launch and scaling of free-to-play games for the Sky Brand, enhancing user engagement and game play. • Developed a scalable system for cross-selling betting markets and promotions, driving revenue opportunities. • Created innovative engagement loops for free-to-play games under the Betfair brand, improving user retention

Product Manager at Flutter Entertainment [Junglee Games], Jan 2025 - Mar 2026 · 1 yr 3 mos, Bengaluru, Karnataka, India, • Spearheaded the re-imagination of the User Lobby, enhancing user engagement and daily revenue. • Introduced Picture in Picture technology to the gaming industry, elevating user experience. • Perfected the Referral Flow, bridging user trust gaps and improving satisfaction. • Transformed the transaction experience on the application home page for better usability.

Associate Product Manager at Flutter Entertainment [Junglee Games], May 2022 - Dec 2024 · 2 yrs 8 mos, Bengaluru, Karnataka, India, • Led the development of the Rummy While Label App, enhancing user engagement and experience. Conducted and analyzed 20+ A/B experiment on the modules - • Revamped the referral module to boost user acquisition and retention. • Improved the Install to Registration process by optimizing the OTP resend flow. • Enhanced new user retention by refining the user journey and implementing a rewarding experience.

Senior Product Analyst at airtel X Labs, Mar 2021 - Feb 2022 · 1 yr, Gurugram, Haryana, India, 1. Assisted in Polygon structure creation to identify high intent leads 2. Led the deployment of microsite for retail stores. 3. Played key role in transitiong from legacy service tool to advanced portal for tracking retail customer movement and employee efficiency. 4. Played pivotal role in getting structure data from third party clients and minimise data quality gaps. 5. Created the Retail store analytical data flow from scratch.

Product Owner at Tredence Inc., Mar 2020 - Mar 2021 · 1 yr 1 mo, Bengaluru, Karnataka, India, Managed a product team for Analytics based AI product

Product Manager at Tredence Inc., Nov 2019 - Jan 2021 · 1 yr 3 mos, Greater Bengaluru Area, Project: 1 Store Driver Model Working for a fortune 500 clothing brand USA. Created a store driver model to enhance Sales by pointing out significant factors attributing to it. Store Clustering (K-Mediods and K-Means) was done to segment same stores together. Regressions implemented were Random Forest and XG Boost Sales prediction for the each store was done using Panel Data Regression. -Decile analysis on sales of different order type w.r.t to Employee for bonus distribution. -Regional markdown analysis of top and bottom deciles. -Damage Analysis: Provided key insights to reduce damage, based on Pareto Analysis and word count algorithm there by impacting significant reduction in reversals of damaged units for few categories. Project - 2 Assisted in building IOP (Integrated Operation Planning). Product which ensures better decision and planning for inventory and resource management for retail clients to optimize the delivery time. -Key Modeling Approaches for Inventory Forecast: Champion Model (winner from FbProphet, ARIMA, Random Forest) -Heuristic Model for Carrier and Workforce planning -Model measures for accuracy : WAPE/MAPE and BIAS -Project 3 - 360 degree e-compass product Tool provides the capability to vendor to continuously monitor the listed product performance on the E commerce site. Key Modeling features- daily scrapping the ecom site for tracking product performance. Implementing sentiment analysis via NLP for product reviews. Provided capability of simulator based on: Parametric Approach: Applying Linear model on product clusters to get key actionable/quantifiable drivers to assist the client decision for next week feature addition on products. Non Parametric Approach: Marked top 10 factors from RF and implemented ANN to project next weeks sales with manipulation in the 10 important factors.

Senior Analyst at LatentView Analytics, Apr 2019 - Nov 2019 · 8 mos, • Analytics Manager to the Electronic Payment Services (EPS) team for a leading search engine provider Google client • Collaborated with stakeholders on diverse projects, including data anomaly investigations and trend analysis. • Developed web applications to automate processes and created automated reports and dashboards for business insights.

Analyst at LatentView Analytics, Feb 2018 - Mar 2019 · 1 yr 2 mos, Bengaluru, Karnataka, India, Refund Analytics Manager for Google Client

Analyst at Cognizant, Sep 2015 - Jan 2018 · 2 yrs 5 mos, Greater Chennai Area, Worked majorly in the field of Data-warehousing and Business Intelligence. Some of my responsibilities for this position included: 1. Working closely with the ETL Lead, Solution Architect, Data Modeller, Data Mapper, Business Analysts to understand business requirements, providing expert knowledge and solutions on Data Warehousing, ensuring delivery of business needs in a timely cost-effective manner. 2. Identifying gaps/areas for improvement. 3. Identifying opportunities to optimize the ETL environment, implement monitoring, quality and validation processes to ensure data accuracy and integrity. 4. Improved reporting for file delivery by Tableau dashboards.

Education

Bachelor’s Degree, Metallurgical Engineering, National Institute of Technology Raipur