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Yashika Behl

Yashika Behl

Product Manager

Talent
BengaluruMember since August 5, 2026
Data AnalysisAtlassian JiraFigmaProduct Development
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Data AnalysisAtlassian JiraFigmaProduct Development

Experience

Associate Product Manager at PhonePe (2024-01 – Present)

  • Spearheaded the redesign of the insurance advisor platform with engineering and design teams, improving task completion experience and driving a 75% uplift in sales conversion and 95% improvement in advisor efficiency during peak cycles. Led renewal and retention overhaul, boosting conversions by 18% through workflow automation and optimized customer journeys.
  • 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 and a 22% jump in conversion efficiency.
  • Designed micro-cohort segmentation models using behavioral and demographic parameters, delivering 15% increase in high-intent customer conversions and sharper targeting precision.
  • Led the launch of a new advisor operations center, managing hiring, training, process setup, and performance frameworks, leading to 35% faster agent ramp-up time and 28% increase in advisor productivity within the first quarter.
  • Developed and launched a GenAI advisor support bot, owning product vision, knowledge framework, and model optimization, achieving 30–45% automated query resolution and 20% reduction in AHT (Avg. Handling Time).

Product Management Intern at Wipro Foundation (2023-05 – 2023-07)

  • Led development of logistics optimization systems, implementing intelligent routing algorithms that reduced waste collection time and operational effort by 30%, enabling faster and more reliable pickups.
  • Designed data-driven geographic mapping for service zones, improving route efficiency and increasing on-ground worker productivity by 25–35%, while supporting scalable expansion into new localities.

Software Research Intern at AI Labs (2022-05 – 2022-07)

  • Used Predictive analysis model to detect Breast cancer at early stages. Worked upon identifying the problem and Data Sources, performed Exploratory Data Analysis.and Pre-Processed the Data achieving accuracy of upto 89 percent.

Education

B.Tech. in Computer Science Engineering – Indira Gandhi Delhi Technical University For Women (2020-12 – 2024-06)

Skills

Product Manager

Reviews

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