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Yashika Behl

@yashikabehl

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Associate Product Manager leveraging ML, analytics, and GenAI to grow conversion, retention, and advisor productivity.

India

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What I'm looking for

I want to build customer-centric products with clear success metrics—pairing PRDs, analytics, and ML/GenAI to improve conversion, retention, and operational efficiency while learning from strong product and engineering teams.

I’m an Associate Product Manager at PhonePe where I lead redesigns, renewal/retention overhauls, and data-driven product initiatives. By partnering with engineering and design, I improved task completion experience, drove a 75% uplift in sales conversion, and increased advisor efficiency by 95% during peak cycles.

I also built a predictive lead scoring engine that improved high-quality lead identification by 40%, designed micro-cohort segmentation for a 15% lift in high-intent conversions, and launched a GenAI advisor support bot delivering 30–45% automated query resolution with 20% lower AHT. I’m motivated by measurable impact—earning a Palantir Women in Technology Scholarship grant of $7000 and contributing research/publishing work in intrusion detection using PSO-GAN/Conditional GAN approaches.

Experience

Work history, roles, and key accomplishments

Current

Associate Product Manager

Current

Phonepe

Jan 2024 - Present (2 years 5 months)

– Spearheaded the redesign of the insurance advisor platform with engineering and design teams, improving task completion experience and driving a 75% uplift in sales and 95% improvement in advisor efficiency.
– Built a predictive lead scoring engine, writing product requirements and aligning with data science and engineering, resulting in 40% improvement in high-quality lead identification.

Figma Miro SQL Product Management Data Analysis Machine Learning AB Tests

Product Management Intern

Wipro Foundation

May 2023 - Jul 2023 (2 months)

Led development of logistics optimization systems, implementing intelligent routing algorithms that reduced waste collection time and operational effort by 30%. Designed data-driven geographic mapping for service zones, improving route efficiency and increasing on-ground worker productivity by 25–35%.

Geographic Service Zone Mapping

Software Research Intern

AI Labs

May 2022 - Jul 2022 (2 months)

Developed a predictive analysis workflow to detect breast cancer at early stages, including problem/data source identification and exploratory data analysis. Pre-processed the data to achieve accuracy up to 89%.

Predictive Analytics data preprocessing