Bishwajeet Pal

Product Manager

Hyderabad, Telangana, India5 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in user-centric product development.
Proven track record in AI product strategy.
Strong analytical skills driving data-driven decisions.

Stackforce AI infers this person is a SaaS product manager with a strong focus on AI and user experience.

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Skills

Core Skills

Product StrategyProduct RoadmappingIt Business AnalysisAgile Product ManagementUser Experience (ux)PrototypingData AnalysisCustomer Engagement

Other Skills

Usability TestingAI/ML featuresData-driven decision makingA/B TestingWireframingJiraStrategyInsurtechGrowth StrategiesAnalytical SkillsAgile MethodologiesBusiness InsightsResponsive Web DesignDesign ResearchDesign

About

I turn ambiguity into outcomes. I don't just do the work, I solve problems. No fluff. No feature factories. just clarity, velocity, and products that win. I validate early, kill bad ideas fast, and ship things people actually want. Driven by a deep curiosity about human behavior – I'm passionate about uncovering unmet needs and building user-centric products that deliver value to the user and the business. I focus on the value lifecycle - understanding value, creating value, capturing value, communicating value, and delivering value - to build the products users love.

Experience

5 yrs 6 mos

Total Experience

11 mos

Average Tenure

1 yr 3 mos

Current Experience

Innova solutions

Business analyst III (Product Managment)

Mar 2025 – Present · 1 yr 3 mos · Hyderabad, Telangana, India · Hybrid

1. Led 0→1 launch of an enterprise ERP — covering Opportunity → Contract → Resource Planning → Project Tracking — driving adoption to project managers and cutting project onboarding delay.
2. Defined the 12-month product vision and roadmap, informed by competitive analysis of 4–5 ERP tools (SAP, Oracle NetSuite, Zoho, Deltek) and data-driven pivots from SQL-based adoption tracking.
3. Built a RAG-based contract metadata extraction system end-to-end (ingestion → retrieval → structured output), removing 5–7 manual reconciliation steps across finance and PMO.
4. Partnered with the AI/DS team to define extraction scope, iterate on prompts, and fix recurring failure patterns (multi-format contracts, missing clauses, inconsistent naming) at the root.
5. Set up accuracy benchmarks and spot-check workflows before org-wide rollout; scoped AI/ML features (forecasting, anomaly detection) for resource planning and finance visibility.
6. Presented quarterly reviews to VPs and Country Heads; built a PM knowledge base and ran upskilling sessions through the Centre of Excellence.

Product StrategyProduct RoadmappingUsability Testing