Ravi Teja .

Product Manager

India6 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Increased social density from 2% to 15%
Boosted video fulfillment from 55% to 85%
Developed sentiment analysis model for customer trust

Stackforce AI infers this person is a Product Manager with expertise in Gaming and Healthcare sectors.

Contact

Skills

Core Skills

Product ManagementUser Interface DesignData Analysis

Other Skills

Adobe PhotoshopAnomaly DetectionAutomationC (Programming Language)LeadershipMicrosoft OfficeProblem SolvingProgrammingPublic SpeakingPythonSentiment AnalysisSocial GamingTeamworkTelemetryVideo Consultation

About

I am a product manager at Zynga, where I work on creating engaging and social real money gaming experiences for users. I spearheaded the shift of the platform from real money gaming to social RMG, increasing the social density among users from 2% to 15% and the acceptance rate from 1% to 10%. I also integrated a search capability and enabled the friend request feature in the application, improving the user interface and satisfaction. Before joining Zynga, I was a product manager at a stealth startup and an associate product manager at DocsApp, where I worked on the integration of video consultation on the app, increasing the video fulfillment from 55% to 85%. I also managed the end to end ownership of the doctor side app, improving the metrics and solving product flows. I have a master's degree in mathematics from IIT Kharagpur, where I developed strong analytical skills and a passion for problem solving. I am an intuitive and curious person who learns quickly and grasps new concepts. I am motivated by the challenge of creating innovative and impactful products that enhance the lives of millions of users.

Experience

Zynga

Product Manager

Jun 2022 – Present · 3 yrs 9 mos · Bengaluru, Karnataka, India

Stealth startup

Product Manager

Dec 2021 – May 2022 · 5 mos · Bangalore Urban, Karnataka, India

Spearheaded the shift of the platform from real money gaming to social RMG
Enhanced social density among users from 2% to 15% by showcasing various avenues for befriending other users
Integrated a search capability and enabled the friend request feature in the application, improving the user interface
Increased acceptance rate from 1% to 10% through better recommendations using profile and mutual gaming activity features
Developed a deep understanding of the company's business objectives, evangelised the product vision, and built trust by maintaining an accurate and achievable roadmap

Product ManagementUser Interface DesignSocial GamingData Analysis

Docsapp

2 roles

Associate Product Manager

Promoted

Mar 2020 – Dec 2021 · 1 yr 9 mos · Bengaluru, Karnataka, India

Worked on the integration of video consultation on the app to increase patient satisfaction and treatment efficiency
Diligently coordinated with tech and operations tech to improve video fulfillment from 55 percent to 85 percent successful
Managed end to end ownership on doctor side app by working on solving product flows and making PRD’s which improved the metrics

Video ConsultationProduct ManagementData Analysis

Product Analyst

Aug 2019 – Feb 2020 · 6 mos · Bengaluru, Karnataka, India

Developed a python-based sentiment analysis model using NLTK on customer reviews and displayed the results on the app, to gain customer trust in our product
Created, tested, and maintained automation python scripts to eliminate manual intervention which would track metrics related to the product.
Worked on identifying the source of the transaction failure rate to improve the conversion rate.

Sentiment AnalysisPythonAutomationData Analysis

Indiana university bloomington

2 roles

Data Analyst Internship

May 2018 – Jul 2018 · 2 mos · Greater Bloomington, Illinois Area

Real-time anomaly detection using HTM algorithm on a racing car:-
Worked on detecting anomalies like crashes, pit-stops and unknown events in the Indianapolis 500-Mile car race.
Implemented HTM (Hierarchical Temporal Memory) algorithm on telemetry data of the cars in the race.
Analysed the correlation of RPM time trajectories among all cars and successfully predicted the anomaly events, duly verified using corresponding video data.

Anomaly DetectionData AnalysisTelemetry