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Poojitha Repaka

Open to work1 years experience

Associate Tech Product Analyst

Bengaluru, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Associate Tech Product Analyst at Visa | GenAI & Agentic AI Specialist

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

29 skills
pythonjavasqllangchainragmcpagentic aiprompt engineeringpytorchyolov5opencvscikit-learnpandasnumpymatplotlibpower bitableaustreamlithtmlcssjavascriptgitvs codejupyter notebookpgadminoopdata structures algorithmssdlcReact.js

GitHub Activity Evidence

GitHub Footprint Not Connected

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Work Experience

Associate Tech Product Analyst

Visa

Jul 2025 - Present Bengaluru, India
  • Designed and implemented an MCP-based IAM Agent for Visa’s internal AI chatbot using Agentic AI workflows, reducing manual request initiation time by 40%.
  • Developed conversational AI workflows integrated with MCP tools and LLM-powered systems, currently used by 5,000+ employees.
  • Authored 20+ PostgreSQL queries using pgAdmin to validate Power BI Finance and ROI dashboards, identifying 15+ data discrepancies and improving dashboard reliability by 30%.
  • Performed KPI verification and enterprise-scale data validation for senior business stakeholders.

Product Analyst Intern

Visa

Jan 2025 - Jul 2025 Bengaluru, India
  • Led end-to-end requirements analysis for Visa’s Global Billing Platform (VGBP), collaborating with 8+ cross-functional stakeholders to define Standard Interface File (SIF) specifications.
  • Conducted feasibility analysis, requirement gathering, and workflow documentation for automated billing systems, reducing manual billing effort by 40%.

Projects

Automated Vehicle Damage Assessment and Cost Estimation for Insurance Companies using Deep Learning

YOLOv5PyTorchOpenCV
  • Developed a vehicle damage detection system using YOLOv5, PyTorch, and OpenCV trained on 2,000+ annotated images.
  • Implemented bounding-box localization and classification for dents, scratches, and broken parts with 89% detection accuracy.
  • Built a regression-based repair cost estimation module achieving 85% prediction accuracy, reducing insurance claim assess- ment time by 60%.

Parkinson’s Disease Prediction using Machine Learning

  • Created a Parkinson’s Disease prediction system using machine learning classification models trained on 195+ biomedical voice recordings.
  • Extracted and analyzed vocal biomarkers including frequency, jitter, shimmer, and harmonicity features to identify early signs of Parkinson’s Disease.
  • Achieved 94% prediction accuracy using supervised learning techniques, enabling early and non-invasive diagnostic support.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

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AI Collaboration Score

AI Collaboration Score Pending

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Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

NPTEL Programming, DSA using Python

Certification of Programming, Data Structures and Algorithms using Python by NPTEL

NPTEL Data Analytics with Python

Data Analytics with Python by NPTEL

Oracle SQL Certification

Oracle SQL Certification by Oracle Academy

About Details

Professional Bio

Associate Tech Product Analyst with experience in GenAI, Agentic AI, RAG pipelines, and LLM-powered applications at Visa. Skilled in Python, SQL, PyTorch, PostgreSQL, and AI-driven automation. Experienced in building scalable AI systems and enterprise-grade intelligent solutions.

Bachelor of Technology (B.Tech) in Computer Science

Shri Vishnu Engineering College For Women (2021 - 2025)

Languages: English, Hindi
Email: Locked