I had a very valuable session focused on Agentic AI use cases in the banking industry, and it gave me a much clearer understanding of where agent-based solutions can create real business impact. The discussion covered practical banking use cases across areas such as customer service, lending, fraud and risk, compliance, operations, data and analytics, and employee productivity.
Anonymous
Pinned
Muskan being a highly qualified professional in AI guided me throughout the session from the interviews perspective. Also giving excellent advice and streamlining my thought to focus on important topics to achieve my goals. Thank you!
Manav Jain
Pinned
I had a call with Muskan about an Agentic AI project I’m working on. She gave me a high-level overview of how to approach the BFSI use case while developing AI agents. The discussion was insightful. Thanks, Muskan!
Pratik Kodilkar
Pinned
Good Session cleared all my doubts.
Prajwal Patil
Pinned
Muskan provided incredibly practical advice on breaking into ML as a fresher. Her honest breakdown of the 20-30% fresher hiring reality helped me adjust my strategy to target Data Analyst roles alongside ML. The specific guidance on skill depth (application-level math vs proof-level, library usage vs from-scratch implementation) saved me months of confusion. Truly transparent and actionable mentorship!
Enterprise AI, GenAI & AI Product Strategy Consulting
₹4,000
Ratings and feedback
5/5
5 ratings
5
Testimonials
About me
I’m a Data Scientist and AI Product Strategist with 5+ years of experience, currently at JPMorgan Chase, where I lead the end-to-end design and delivery of enterprise-grade machine learning and LLM-powered platforms that transform how CIB teams operate, analyze, and make decisions.
I specialize in building intelligent, user-centric solutions that combine advanced analytics, multi-agent orchestration, and platform thinking. My work bridges the gap between technical innovation and business impact. Key accomplishments include:
Retail demand forecasting engine with 90%+ accuracy, enabling data-driven inventory planning and improving operational efficiency
Chat With Data – a conversational AI assistant with a bot-based UI integrated into dashboards, empowering 200+ users to query data using natural language, reducing manual reporting time by 30%
LLM-driven content generation and summarization tools, streamlining client communications and accelerating internal decision-making
These solutions are built with enterprise-grade governance and compliance safeguards, including prompt validation, audit logging, and defenses against prompt injection—ensuring regulatory alignment and secure deployment.
I bring deep expertise in multi-agent orchestration (LangGraph), schema-aware retrieval, prompt engineering, RAG architectures, SQL guardrails, and AI governance. I collaborate with engineering, risk, and operations teams to ensure alignment with product roadmaps, compliance, and adoption goals.
As a strategic and execution-focused leader, I define product vision, shape MVPs, manage agile backlogs, and drive A/B testing and feedback loops to optimize performance and value. I also mentor junior team members and lead experimentation on agent design and retrieval techniques to future-proof AI solutions.
Previously at Capgemini, I led predictive modeling and analytics programs that achieved a 20% reduction in operational costs across BFSI and retail domains through precise execution and stakeholder alignment.
Core Strengths
AI Product Strategy | LLM Orchestration (LangGraph) | Conversational Analytics | Prompt Engineering | RAG Architectures | Forecasting | Governance & Compliance | Product Roadmapping | SQL Guardrails | A/B Testing | ROI Modeling | Cortex AI | Cross-functional Collaboration | Platform Scaling | Team Mentorship
I hold a B.Tech in Computer Science and am actively exploring leadership roles, such as Senior Data Scientist, AI Product Manager, or AVP – Data Science, to drive AI product innovation and deliver measurable business impact at scale.