Rajesh Krishna Devireddy

Product Manager

Bengaluru, Karnataka, India12 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in building consumer products based on data insights.
Proven track record in fraud detection systems.
Strong background in data science and machine learning.

Stackforce AI infers this person is a Product Manager with expertise in Data Science and Fraud Detection in B2C and B2B sectors.

Contact

Skills

Core Skills

Product ManagementData ScienceProduct StrategyMachine Learning

Other Skills

Trust and safetyFraud detection systemsNative content experiencesPersonalisationRetentionReal-time decision-makingProbabilistic approachPropensity modelData miningStatistical techniquesSQLRPythonConsumer ProductsProduct Development

About

I am a combo product, data and engineering guy. Love building consumer products that are simple, useful and based on deep tech, data or insights. Over last decade, I had hands-on experience in building both user research first and data-centric products across B2C and B2B spaces.

Experience

12 yrs 10 mos

Total Experience

3 yrs 11 mos

Average Tenure

1 yr 1 mo

Current Experience

Coupang

Group Product Manager

May 2025 – Present · 1 yr 1 mo · Taiwan

Trust and safety , Fraud detection systems

Trust and safetyFraud detection systemsProduct ManagementData Science

Great learning

Product Mentor

Oct 2021 – Jun 2022 · 8 mos

Prroduct mentor for PGP in Product management and Analytics

Product Management

Inmobi

Group Product Manager

Nov 2020 – May 2025 · 4 yrs 6 mos · Bengaluru, Karnataka, India

Building native content experiences for developed countries, Personalisation and Retention @short video platform

Native content experiencesPersonalisationRetentionProduct ManagementProduct Strategy

Roofandfloor

Senior Product Manager

Oct 2016 – Oct 2020 · 4 yrs · Bengaluru, Karnataka, India

Online Property Portal; A Start up aiming to provide one stop platform for end to end needs of a homebuyer .

Product Management

Mu sigma inc.

2 roles

Senior Data Scientist

Promoted

Jan 2015 – Sep 2016 · 1 yr 8 mos · Bengaluru, Karnataka, India

Mu-cricket : From context-lagging information to real-time decision-making, through cricket’s POV (Nov 2015- Sep 2016)
A cricket team’s greatness lies in the number of victories it generates. But what about the players?
The context varies considerably from one performance to another. And yet, game’s statistics
continue to provide us with single-dimensional evaluations through landmarks. Is it the only way out?
✦ Developed controllable metrics for player evaluation across history by normalizing
scores to situational influences on player performances through a probabilistic approach
✦ Metrics have been validated for winning and actionable insights derived on the aspects to be
improved by the team, generated the speculated match story for the matches played
✦ Built WASP equivalent to predict scores and possible results of a limited overs match
Driver analysis for Customer lapse behavior for a life Insurance product : ( Jan15 -Oct15)
✦ Built a propensity model to identify factors leading to customer churn and likelihood of to get churned

Real-time decision-makingProbabilistic approachPropensity modelData ScienceMachine Learning

Data Scientist

Jun 2013 – Jan 2015 · 1 yr 7 mos · Bengaluru, Karnataka, India

Independently managed multiple work streams for US and Australian clients, delivering actionable insights.
Translated complex business problems into analytical frameworks using data mining and statistical techniques.
Developed and conducted training sessions in SQL, R, Python, and statistical modeling for new employees.

Data miningStatistical techniquesSQLRPythonData Science