ADITYA TEJA
BHIMAVARAPU
Product Manager
San Fransico, CA
Aditya Teja Bhimavarapu is a visionary Product Manager based in San Francisco, CA, specializing in AI/ML and enterprise software. He holds a Master of Science in Product Management from Carnegie Mellon University and an MBA from the Indian Institute of Management. Aditya founded Projects Yard, a platform aggregating candidate portfolios, achieving Product Hunt Top 10 status and onboarding over 1,000 users. He also served as a Product Manager Consultant at PNC Bank, identifying a $2 billion opportunity by repositioning a banking app with AI-driven guidance. Previously, as Manager at ICICI Bank, he managed a $650M portfolio, implemented a multilingual financial document parsing tool reducing turnaround time by 25%, and scaled onboarding to include 15 Fortune 500 companies.
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Experience
My professional journey and the amazing teams I've been part of
Product Manager Consultant
PNC Bank
Aug 2025 — Dec 2025
Led mixed-methods discovery (surveyed 90+ SBOs, interviewed 10) to quantify pain points of Small Business Owners in managing finances.
Analyzed 16 competitors & articulated a Service Void - SBOs lacked predictive advisory tools, repositioning the banking app from neat dashboards to differentiated AI-driven guidance.
Translated insights into PRDs, service blueprints, and a prioritized backlog; aligning design, data science, & business stakeholders on scope, metrics.
Iterated quickly on customer feedback using rapid UX Prototyping on Figma and Claude Code.
Unlocked a $2 Bn + opportunity
Repositioned banking app from neat dashboards to differentiated AI-driven guidance.
Founder, AI Product Manager
Projects Yard
Jan 2025 — Feb 2026
Spearheaded from conception to launch, initially developing the full-stack solo before leading cross-functional team of 3 to deliver a platform with strong product-market fit serving tech professionals, recruiters.
Built platform projectsyard.com, a portfolio aggregator and project showcase tool where candidates can display projects in STAR format case studies and build entire portfolio pages in under 15 mins.
Conducted market research (100+ students, 10+ recruiters) and identified gap: Portfolios & Projects take time to create, have low discoverability. For recruiters, it’s difficult to assess skills using just resume.
Onboarded 1000+ users, 3000+ visitors and 17,000+ page views by orchestrating a multi- channel GTM strategy combining University Career Centers, Product Launch (#8/ 400+) and offline booths.
ProjectsYard.com: Product Hunt Top 10 of the day; 3k+ visitors, 1k+ users; strong product market fit
Product Launch (#8/ 400+)
Manager, Corporate Banking
ICICI BANK
Apr 2023 — Nov 2024
Managed a portfolio valued at $650M comprising of 45 large corporations including Fortune 20 companies.
Owned end-to-end implementation of tool that parsed client financial documents from 60+ languages, converted other currencies to Indian Rupees and auto filled in proprietary Excel Model.
Initiated a multi-country taskforce, creating a sales funnel strategy of partnering with foreign companies before their India entry, by clearly identifying and mapping client touchpoints.
Delivered 26 C-Suite business presentations, effectively influencing strategic decisions with clear insights on portfolio growth.
Resulted in annual revenue of $7M.
Reduced turnaround time by 25% with new parsing tool.
Scaled to onboard 15 Fortune 500 companies (Micron, Foxconn) in year 1 growing portfolio by $190M in FY 2024.
Marketing Intern
GALDERMA
Apr 2022 — Jul 2022
Performed a deep-dive analysis of acne market by conducting 900 interviews and 10 focus groups resulting in crucial insights about the purchase drivers and impact of sales channel on willingness to pay.
Helped formulate positioning and communication strategy for 4 acne care products – cleansers, face wash and moisturizer based on consumer preferences based on primary & secondary research.
Launched campaign for face cleanser, wash, and moisturizer by benchmarking product to establish positioning.
Resulted market share of 2-3.5% in first year of launch.
Senior Analyst
CAPGEMINI
Oct 2020 — Oct 2021
Contributed to development of data warehouse to predict credit card default probability by using fine-tuned gradient boosting model implemented on Apache Spark.
Developed program in PySpark to streamline and semi-automate code documentation, making it more intuitive for users and saving over 1K man-hours annually per team.
Improved model accuracy by 3%.
Saved over 1K man-hours annually per team through automation.
Education
Where I built the foundation of my expertise
CARNEGIE MELLON UNIVERSITY
Master of Science in Product Management
Class of 2025
INDIAN INSTITUTE OF MANAGEMENT
Master of Business Administration
Class of 2023