Avishek Patra
Product Leader | GenAI, SaaS & Cloud Solutions | Driving Business Growth | AI Product Strategy & GTM | PSPO-1&2
- Role
- Product Manager at Commonwealth Bank
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Avishek Patra
Product Leader, AI products As a Product Leader with 13+ years of experience, I…
Experience
Product Manager
Jan 2022 — Present · Bangalore Urban, IN
I spearheaded a product initiative focused on building a foundational data platform to resolve critical user pain points for our Financial Crime Analyst persona. Their key use case was accessing and analyzing disparate data scattered across 11+ legacy systems, which was a significant bottleneck hindering regulatory compliance and case analysis efficiency -data access time was ~16 days. This involved leading the product definition and delivery of a unified AWS-based data platform, essentially acting as the Product Lead for this internal data product. We focused the feature design on delivering actionable data attributes (>300 critical attributes across 7 releases), enabling a dramatic reduction in data access time (from 16 days to 1 minute). This delivered clear user value, directly saving ~1600 FTE hours/year and accelerating our capacity for financial crime analysis and ensuring timely compliance.2. I led a key product initiative focused on tackling a major user pain point: customer churn. This involved managing the entire product lifecycle, from discovery and definition through development, launch, and iteration, for our AI-driven Churn Mitigation Feature. We identified specific user personas, primarily our Customer Success Managers and Marketing Managers, who needed better tools to proactively retain customers. The core use case for CSMs was identifying at-risk customers and understanding why they were likely to churn. We partnered closely with Data Science to design the feature’s core logic around an ML model utilizing Shapley values analysis; this was crucial for providing actionable insights (the ‘why’) alongside the prediction score, informing the feature design which included a risk dashboard and personalized intervention recommendations. For Marketing, a key use case was segmenting high-propensity-to-churn cohorts for targeted campaigns. The results: a 12% reduction in churn rate and a 15% increase in customer satisfaction within 30 days post-launch.
Education
DR. T. THIMMAIAH INSTITUTE OF TECHNOLOGY (TTIT)
Bachelor of Engineering - BE, Electronics and Communications Engineering
Dr. B.C. Roy Engineering College
MBA, MBA( Finance & Marketing)
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