Open to opportunities

Gaurav kumar

@gauravkumar11

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Data Scientist driving product growth through data-driven strategies.

India

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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage data to drive impactful business decisions.

I am a Data Scientist with a proven record of accelerating product growth and enhancing user engagement through data-driven strategies, rigorous experimentation, and effective cross-functional collaboration. My expertise lies in developing end-to-end analytics solutions that empower business decision-making and optimize overall performance.

At Coinbase, I have successfully conducted various analyses, including Notifications Analysis that led to a 10% increase in Monthly Active Transacting Users. I also spearheaded the creation of an Experiment Impact Tracker and deployed an Anomaly Detection tool, which proactively flags abnormal metric shifts in international markets. My collaborative efforts with cross-functional teams have driven significant product improvements and revenue gains.

Prior to my role at Coinbase, I worked at KPIT Technologies, where I applied advanced machine learning techniques for fault detection and classification, significantly reducing downtime. My academic background from the Indian Institute of Technology, Kanpur, in Materials Science & Engineering has equipped me with a strong analytical foundation that I leverage in my professional endeavors.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Coinbase

May 2022 - Present (3 years 1 month)

Led strategic analysis initiatives, including notifications analysis that increased MATU by 10% and asset recommendation analysis resulting in a 1% incremental revenue gain. Developed and deployed data science tools like an Anomaly Detection tool and a Metric Movement Explainer, while collaborating cross-functionally and leading DS efforts for major product rollouts.

Experimentation Anomaly Detection Data Analysis Data Visualization SQL Python Product Analytics ETL

Data Scientist

KPIT Technologies

Jun 2018 - May 2022 (3 years 11 months)

Applied machine learning techniques, including clustering and Hidden Markov Models, for fault detection and classification, successfully reducing system downtime. Developed and deployed a real-time spark plug remaining useful life prediction pipeline on Azure, demonstrating expertise in cloud deployment and predictive maintenance.