Senior Analyst – Data & AI (Capability) at Accenture (2025-06 – Present)
Data Governance & Applied Intelligence Platform for Accenture: Lead backend development and technical delivery for Accenture's own, new enterprise data governance platform powered by AI from scratch; manage and mentor a team of 4 engineers, own architecture, design reviews, implementation, and stakeholder coordination.
- Design and implement scalable RESTful APIs with FastAPI to support high-throughput data ingestion, governance workflows, and AI-driven services; architect and automate ETL/migration pipelines to onboard data and metadata from 40+ client systems & project data into a centralized platform; leverage Elasticsearch for scalable indexing, search, and metadata retrieval.
- Build and deploy agentic AI workflows using LangChain, LangGraph, and Deep Agents to automate metadata extraction, validation, orchestration, retrieval-augmented workflows (RAG), and intelligent onboarding—improving automation, consistency, and scalability.
Analyst – Data & AI (Capability) at Accenture (2023-08 – 2025-05)
- Built a LangGraph-based Fashion AI Assistant for a retail client with multi-agent orchestration, PostgreSQL-backed product retrieval, and Redis-powered caching/session management to deliver personalized, low-latency recommendations; 85% cache hit rate and reducing database load by 30%
- Designed and implemented a Data Quality Impact Analyzer and knowledge-graph solution for a global financial services enterprise using Neo4j and Graph Data Science (GDS) to automate multi-modal knowledge-graph creation from structured and unstructured sources, detect lineage breakpoints, and trigger automated alerts—reducing manual effort by 30% and improving data reliability and traceability.
- Led enterprise-scale metadata migration for a multinational hospitality client, automating metadata transfer from Informatica to Atlan using Python, FastAPI, custom connectors, and LangGraph-based orchestration; integrated GenAI-powered metadata enrichment (LLM-based classification, description generation, and tagging) to improve metadata completeness, accuracy, and governance coverage, while accelerating onboarding by ~25%.
- Built a GenAI-enabled data intelligence and visualization platform as a POC that scaled into a full project, removing the need for a separate team and reducing operational costs by 80%; integrated text-to-SQL pipelines, session management, and real-time dashboards to drive decision-making.
Data Analyst Intern at Magicpin (2022-02 – 2022-04)
- Processed 1M+ records and automated KPI dashboards using Python and SQL, reducing manual effort by 20% and improving reporting efficiency.
