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AI Product Analyst with 2+ years in Generative AI & Regulatory Reporting
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Assessing your cultural and operational fit
Business & Product Analyst with 2+ years of experience delivering data-driven solutions at the intersection of business, product, and AI. Skilled in Generative AI, LLMs, and agentic workflows, building AI-powered products that drive automation and efficiency gains. Proven ability to translate complex requirements into scalable solutions and align cross-functional teams. Focused on creating intelligent systems that reduce manual effort and deliver measurable business impact.
Gandhi Institute Of Technology and Management (GITAM)
Bachelor of Technology · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Ernst and Young(EY)- Global Delivery Services
Product Analyst | Functional Subject Matter Expert
July 1, 2025 – Present
Hyderābād, Telangana, India
Ernst and Young(EY)- Global Delivery Services
Business Analyst | Regulatory Reporting Analyst
June 1, 2024 – Present
Hyderābād, Telangana, India
Meeting Orchestration Agent
June 1, 2026 – Present
Engineered an Agentic Meeting Scheduling System (n8n) automating end-to-end scheduling by converting user inputs into calendar events and real-time email confirmations-eliminating 100% of manual scheduling effort and reducing coordination time by ~70%. Implemented an intent-aware automation layer to classify meeting context and generate context-specific email communication, reducing manual drafting effort by 40% and improving response readiness time. Built a webhook-based event-driven workflow integrating Google Calendar and Gmail APIs, enabling real time execution for scalable agent orchestration.
Context Aware Interview and Resume Chatbot
June 1, 2026 – Present
Designed and developed an AI-powered Interview & Resume Assistant leveraging LLMs (Groq API) to deliver real-time resume scoring, keyword gap detection, and role-specific optimization-reducing manual review effort by 80% and significantly improving ATS alignment. Integrated a Job Description Intelligence Engine that converts unstructured job descriptions into structured skill insights and gap analysis, generating targeted recommendations-improving candidate readiness efficiency by 2x. Implemented a context-aware memory layer with RAG architecture, enabling persistent context tracking and automated prompt augmentation-improving recommendation relevance.
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
GitHub Copilot (GH300)
GitHub
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI-powered chatbot and an agentic meeting scheduling system, showcases innovation and a proactive approach to problem-solving. Their professional experience in a global delivery services environment (EY) indicates adaptability and experience working in structured, client-facing roles. The awards received (GDS User Recognition, Captain Extraordinary, Spot Award, Client Appreciations) highlight a strong work ethic, willingness to go beyond core responsibilities, and a collaborative spirit, which are positive indicators for cultural fit. The target role 'Product Analyst AI Product' aligns well with their recent experience as a Product Analyst and their demonstrated interest and skills in AI/Generative AI.
Soft Skills & Operational Fit
The candidate demonstrates strong product ownership, structured release planning, and cross-team alignment, as evidenced by multiple commendations. Their experience in leading knowledge transfer and onboarding teams suggests good leadership and collaboration skills. The projects highlight an ability to translate complex requirements into scalable solutions and focus on measurable business impact, which aligns well with an operational role. The candidate's ability to manage end-to-end regulatory reporting and optimize workflows indicates a detail-oriented and results-driven approach.