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# Tushar Yadav

**Headline:** product \- data \- strategy
**Profession:** product \- data \- strategy
**Location:** San Francisco, California, United States

## About

Tushar Yadav is a product, data, and strategy professional who is actively exploring a next role where he can work closely with leadership, turn ambiguous problems into structured execution, and help teams ship meaningful outcomes\. Most recently, Tushar worked at Spanda AI, partnering with leadership on product and data strategy and contributing to AI\-driven solutions for education and local discovery\. His strengths span zero\-to\-one product ownership, go\-to\-market strategy, analytics, experimentation, AI recommendation systems, and translating KPI insights into growth opportunities\. At Spanda AI, he identified $1M\+ revenue opportunities through 50\+ KPI benchmarks and improved recommendation relevance by 23% while reducing latency by 40% using NLP, SBERT, and RAG pipelines\. Previously, Tushar launched SF Fire Credit Union’s first A/B testing framework and helped drive a sustained 30%\+ increase in app downloads\. His earlier work includes campaign and targeting analytics for 225\+ top\-tier Viacom18 clients and a Python\-based anomaly\-detection effort at Maruti Suzuki that prevented 1,000\+ vehicle losses annually, with a stated $5\.8M impact\. Alongside his analytics and product work, Tushar has built a profitable fashion micro\-business designing apparel and reselling hype sneakers\.

## Services

- AI Strategy
- Benchmarking
- Go\-to\-Market Strategy
- Retrieval\-Augmented Generation \(RAG\)
- LangChain
- Neo4j
- Apache Kafka
- Large Language Models \(LLM\)
- PySpark
- Big Data Analytics
- streamlit
- API
- Natural Language Processing \(NLP\)
- Machine Learning
- Regression Analysis
- Asana
- Causal Inference
- monday\.com
- Salesforce
- Web Scraping

## Highlights

- At Spanda AI, partnered with leadership on product and data strategy and helped launch AI\-driven solutions for education and local discovery\.
- Owned zero\-to\-one product work, AI analytics strategy, and go\-to\-market efforts at Spanda AI\.
- Identified $1M\+ revenue opportunities at Spanda AI through benchmarking 50\+ KPIs\.
- Improved AI recommendation relevance by 23% and reduced latency by 40% at Spanda AI using NLP, SBERT, and RAG pipelines\.
- Launched SF Fire Credit Union’s first A/B testing framework\.
- Optimized the SF Fire Credit Union member logout flow\.
- Drove a sustained 30%\+ increase in SF Fire Credit Union app downloads through product analytics, KPI frameworks, GA4 funnel analysis, and member\-acquisition and growth strategy\.
- Delivered campaign and advertising performance analytics and targeting optimization for 225\+ top\-tier Viacom18 clients, including Uber, Apple, Coca\-Cola, and BMW\.
- Contributed to a 50% increase in repeat business for the Paris Olympics through Viacom18 work\.
- Developed a Python\-based predictive anomaly\-detection algorithm at Maruti Suzuki India Limited\.
- Prevented more than 1,000 vehicle losses annually at Maruti Suzuki, with a stated $5\.8M impact\.
- Built Power BI dashboards and conducted statistical failure analysis in Maruti Suzuki R&D\.
- Developed Power BI dashboards and supported regulatory reporting and strategy for industrial and real\-estate environmental\-compliance clients at DK & Associates\.
- Maintained 100% client retention at DK & Associates\.
- Built a profitable fashion micro\-business through apparel design and hype\-sneaker resale using data\-led pricing\.
- Had apparel designs featured at events and in web series\.

## Experience

- **Product Manager at Spanda AI Inc\.** (2025\-09\-01–2026\-05\-01) — AI analytics strategy \- GTM \- 0 to 1 product ownership \- 50\+ KPI benchmarking \- $1M\+ revenue opportunities
- **Product & AI Data Analyst at Spanda AI Inc\.** (2025\-06\-01–2025\-08\-01) — AI recommendation systems \- NLP & SBERT \- RAG pipelines \- \+23% relevance & \-40% latency
- **Product Manager / Data Analyst at SF Fire Credit Union** (2024\-08\-01–2025\-06\-01) — A/B testing, product analytics, KPI framework \- GA4 funnel analysis \- 30%\+ sustained increase in app downloads, member acquisition & growth strategy
- **Product Manager \- Growth & Marketing at SF Fire Credit Union** (2024\-08\-01–2025\-06\-01) — A/B testing, product analytics, KPI framework \- GA4 funnel analysis \- 30%\+ sustained increase in app downloads, member acquisition & growth strategy
- **Analyst Consultant \- Operations at Viacom18 Media Private Limited** (2023\-12\-01–2024\-07\-01) — Campaign/Ad performance analytics & targeting optimization \- 225\+ top\-tier clients \(uber, apple, coca\-cola, bmw, etc\.\) \- 50% increase in repeat business Paris Olympics
- **Associate Consultant at DK & Associates** (2023\-07\-01–2023\-12\-01) — Industrial & Real estate environmental compliance analytics \- Power BI dashboards \- regulatory reporting and strategy \- 100% client retention
- **Graduate Analyst Trainee \- R&D at Maruti Suzuki India Limited** (2023\-01\-01–2023\-07\-01) — Statistical failure analysis \- python based predictive anomaly detection algorithm \- preventing 1,000\+ vehicle losses annually \($5\.8M impact\) \- Power BI dashboards

## Education

- Masters of Science \- Business Analytics — University of California, Davis \- Graduate School of Management (2024\-08\-01–2025\-08\-01)
- Bachelor of Technology \- BTech, Electronics & Telecommunications Engineering — SIT\- Symbiosis Institute of Technology (2019\-08\-01–2023\-06\-01)
- G\.D\.Goenka Public School, Vasant Kunj, New Delhi (2017\-01\-01–2019\-01\-01)

## FAQ

### What does Tushar do?

Tushar is a product, data, and strategy professional\. He is actively exploring a next role where he can operate close to leadership, structure ambiguous problems into execution, and help teams ship meaningful outcomes\.

### What are Tushar’s core strengths?

Tushar is strongest in zero\-to\-one product development, growth strategy, go\-to\-market work, product analytics, experimentation, KPI benchmarking, AI strategy, and building AI\-enabled product experiences\. His approach includes validating product flows before overbuilding and then applying growth tactics\.

### What did Tushar do at Spanda AI?

At Spanda AI, Tushar partnered closely with leadership on product and data strategy\. He helped launch AI\-driven solutions for education and local discovery, owned zero\-to\-one product work and go\-to\-market efforts, and identified $1M\+ revenue opportunities through 50\+ KPI benchmarks\.

### What AI and recommendation\-system work did Tushar do at Spanda AI?

As a Product & AI Data Analyst at Spanda AI, Tushar worked on AI recommendation systems, NLP and SBERT methods, and RAG pipelines\. This work improved relevance by 23% and reduced latency by 40%\.

### What did Tushar accomplish at SF Fire Credit Union?

At SF Fire Credit Union, Tushar helped launch the organization’s first A/B testing framework, optimized the member logout flow, and used product analytics, KPI frameworks, and GA4 funnel analysis to support member acquisition and growth strategy\. The work contributed to a sustained 30%\+ increase in app downloads\.

### What did Tushar do at Viacom18?

At Viacom18 Media Private Limited, Tushar worked as an Analyst Consultant in Operations on campaign and advertising performance analytics and targeting optimization\. His work supported more than 225 top\-tier clients, including Uber, Apple, Coca\-Cola, and BMW, and was associated with a 50% increase in repeat business for the Paris Olympics\.

### What did Tushar accomplish at Maruti Suzuki?

At Maruti Suzuki India Limited, Tushar worked in R&D as a Graduate Analyst Trainee\. He conducted statistical failure analysis, developed a Python\-based predictive anomaly\-detection algorithm, and built Power BI dashboards\. The work prevented more than 1,000 vehicle losses annually, with a stated $5\.8M impact\.

### What did Tushar do at DK & Associates?

At DK & Associates, Tushar worked as an Associate Consultant on industrial and real\-estate environmental\-compliance analytics\. He developed Power BI dashboards and supported regulatory reporting and strategy, with 100% client retention\.

### What is Tushar’s educational background?

Tushar earned a Master of Science in Business Analytics from the University of California, Davis Graduate School of Management\. He also earned a Bachelor of Technology in Electronics & Telecommunications Engineering from SIT – Symbiosis Institute of Technology and attended G\.D\. Goenka Public School, Vasant Kunj, New Delhi\.

### What tools and methods does Tushar use?

Tushar’s listed technical and business skills include AI strategy, benchmarking, go\-to\-market strategy, retrieval\-augmented generation, LangChain, Neo4j, Apache Kafka, large language models, PySpark, big\-data analytics, Streamlit, APIs, NLP, machine learning, regression analysis, causal inference, web scraping, Asana, monday\.com, and Salesforce\.

### What is Tushar’s fashion venture?

Tushar has a side venture in fashion that combines apparel design with hype\-sneaker resale\. He uses data\-led pricing alongside an eye for culture, built the effort into a profitable micro\-business, and has had designs featured at events and in web series\.

### Which industries has Tushar worked in?

Tushar has worked across AI startups, fintech, media, consulting, manufacturing, and a fashion side venture\. His experience includes product management, product and AI data analysis, growth and marketing, operations consulting, environmental\-compliance analytics, and R&D analytics\.

### What product\-building approaches has Tushar applied?

Tushar has described product thinking around a prompt\-to\-itinerary\-to\-booked funnel, including improving trust drop\-off through airport\-corridor positioning\. He has also operated as a one\-person team across product management, quality assurance, and recommendation\-system building\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/tushar\-ydv

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