Vanshika Bhatnagar

Product Management professional & Oxford MBA candidate with a proven track record of bridging deep engineering expertise with strategic business growth. Experienced in orchestrating 0-to-1 product launches and scaling complex AI/ML and HFT systems at Bain & Company and Estee Advisors, managing platforms supporting US$300M+ in annual value. Expert in AI architecture and cloud modernization, with a specialized focus on transforming technical depth into user-centric products that drive measurable business impact.

Product Engineer at Bain & Company (2022-08 – 2025-07)

• Productized an enterprise-grade Agentic AI assistant using LangChain and RAG architecture; drove global adoption across 5,000+ consultants to reduce information retrieval latency by ~90% and accelerate proposal turnaround by ~30%.
• Led the strategic transformation of 4 global enterprise platforms by leveraging SQL-based analytics and aligning stakeholders on product roadmaps to support a US$300M+ leadership incentive strategy.
• Partnered with HR, Finance, Legal to define requirements and build a compliance-ready automation framework through cross-functional Agile sprints, generating US$750K+ in annual savings through streamlined recurring operations.
• Designed and deployed predictive ML forecasting models utilizing RBAC to ensure secure data access, improving global staffing accuracy by ~25% and significantly shortening decision cycles.
• Managed end-to-end user experience (UX) across 14+ internal applications by analyzing user feedback to implement interactive walkthroughs and chatbots, reducing support tickets by ~35% and increasing user satisfaction by ~65%.
• Built a data-driven AI insights engine to synthesize global leadership feedback, standardizing evaluation processes across regions and extracting common strategic themes to improve reporting speed by ~40%.
• Scaled repeatable solutions by developing shared Angular component libraries and CI/CD pipelines (GitHub Actions); published technical documentation that accelerated feature delivery velocity by 20% across 14+ integrated apps.

Product Analyst at Estee Advisors (2021-02 – 2022-07)

Quantitative investment management firm specialising in algorithmic high-frequency trading in global markets

• Managed the technical execution and roadmap for high-frequency trading (HFT) infrastructure, reducing system deployment cycles by ~30% and ensuring zero-downtime continuity during peak-load market operations.
• Automated database release workflows with a production-grade tool (C#, SQL), eliminating post-release downtime and creating a repeatable deployment solution for peak-load trading environments.
• Standardized real-time analytics dashboards to consolidate critical trading KPIs, improving partner decision-making efficiency and reducing critical issue resolution time by ~35%.
• Partnered cross-functionally with quantitative traders and quants to translate complex financial risk strategies into robust, automated backend workflows and crypto risk analysis jobs.

Technology Analyst Intern at TrustPact Legal (2020-07 – 2020-08)

Boutique legal consulting firm offering advisory & digital solutions for client case management & acquisition

• Implemented the product redesign of enterprise-facing portal for clients; utilized customer journey mapping and usability testing to optimize user experience (UX), driving a ~30% increase in engagement and inbound inquiries.

Master of Business Administration in Business Administration – University of Oxford - Saïd Business School (2025-09 – 2026-08)

Bachelor of Technology (Honours) in Computer Science – Jaypee Institute of Information Technology (2017-07 – 2021-06)