Himani Suyal
Associate Product Manager | AI Products | Product Strategy | Product Analytics | SQL | Agile
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About
Associate Product Manager with 3+ years of experience building AI-powered digital products and leading end-to-end product execution. Experienced in product discovery, PRDs, Agile delivery, stakeholder management, product analytics, experimentation, and AI chatbot platforms. Currently leading an AI-powered WhatsApp learning platform serving 1,00,000+ users. Previously worked as a Data Scientist at Nagarro, applying machine learning and analytics to solve business problems.
Experience
Product Team Lead at The Apprentice Project (2024-02 – Present)
- Led the end-to-end product lifecycle for an AI-powered WhatsApp learning platform serving 1,00,000+ users.
- Authored PRDs, user stories, acceptance criteria, workflow documentation, and release notes.
- Prioritized product backlog and collaborated with engineering, QA, content, and operations teams in Agile sprints.
- Conducted user research, A/B testing, and cohort analysis, improving feature adoption by 90% and weekly retention by 45%.
- Defined and tracked KPIs including engagement, retention, completion rate, and feature adoption using SQL and dashboards.
- Performed root cause analysis for production issues and collaborated with engineering teams to improve product quality.
- Validated AI-powered conversational workflows before production deployment.
- Managed API integrations, production releases, UAT, and cross-functional stakeholder communication
Data Scientist at Nagarro (2021-07 – 2024-02)
- Built ML recommendation systems using Python, AWS SageMaker, PySpark, and Pandas, improving engagement by 30%.
- Partnered with Product Managers to translate business requirements into product improvements.
- Performed analytics, hypothesis testing, and user segmentation to support product strategy.
Education
Master of Computer Applications – Birla Institute of Applied Sciences (2019-01 – 2021-12)
Bachelor of Computer Applications – Amrapali Institute of Applied Sciences (2016-01 – 2019-12)

