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# Animisha Gadde

**Headline:** MSBA CMU’26 \| Ex\-AI Product Analyst @ PepsiCo GBS \| Product Analytics, Business & Data
**Profession:** AI Strategy and Product Associate
**Location:** United States

## About

Animisha Gadde is pursuing a STEM Master of Science in Business Analytics at Carnegie Mellon University, with an expected 2026 graduation, and brings experience in AI product analytics, business analytics, and data\-focused product delivery\. Animisha has supported production analytics workflows, data models, KPI definition, data quality, performance monitoring, and analytics pipeline design using Python and SQL\. Her strengths include translating product goals into measurable data signals while collaborating with software engineers, product managers, and analysts across enterprise and public\-facing products\. At PepsiCo, Animisha supported generative\-AI solution delivery across more than five enterprise functions, developed deployment assistants that increased warehouse\-operations productivity by 30%, and designed a multi\-agent Q&A workflow that reduced internal support load by 40%\. She also helped streamline GenAI project pipelines, reducing delivery timelines by 50% and saving more than $700,000 in development costs\. Her earlier work includes GPT\-powered document\-intelligence chatbots, LPWAN operational research, machine\-learning segmentation on datasets exceeding 50,000 records, and client\-ready analytics reporting\. Animisha holds a BTech in Computer Science and Engineering from Vellore Institute of Technology and is interested in data analytics, data\-engineering\-adjacent, and product\-analytics opportunities\.

## Services

- Product Management
- Product Analytics
- Generative AI
- Computer Architecture
- Front\-End Development
- Data Structures
- Natural Language Processing \(NLP\)
- Database Management System \(DBMS\)
- Theory of Computation
- Organizational Psychology
- Operating Systems
- Supply Chain Optimization
- Supply Chain Operations
- Statistical Data Analysis
- Tableau
- AI Product Iteration
- Conversational AI
- Stakeholder Engagement
- User Experience Analytics
- A/B Testing
- Workflow Optimization
- Solution Architecture
- Cross\-functional Collaborations
- Enterprise Platform Scaling
- Product Metrics & KPI Definition
- Exploratory Data Analysis
- Time Series Analysis
- Financial Data Analysis
- KPI Monitoring
- Customer Behavior Analysis

## Highlights

- Supported end\-to\-end delivery of generative\-AI solutions as a technical lead under PepsiCo's AI Solutions Delivery Lead across more than five enterprise functions\.
- Developed GenAI\-powered Deployment Assistants at PepsiCo that increased warehouse\-operations productivity by 30%\.
- Designed a multi\-agent generative\-AI workflow for a Q&A assistant at PepsiCo, reducing internal support load by 40%\.
- Streamlined PepsiCo GenAI project pipelines, cutting delivery timelines by 50% and saving more than $700,000 in development costs\.
- Received the DataAnalytics&AI \(D&Ai\) H1 Award in 2025\.
- Named a D&Ai Hackathon Finalist\.
- Developed GPT\-powered chatbots for document intelligence at PepsiCo, enhancing compliance and user interaction\.
- Explored LPWAN technologies for operational use cases and conducted exploratory analysis to identify failure modes and data gaps supporting the transition from research to production analytics\.
- Built customer and market segmentation models at Feynn Labs using datasets exceeding 50,000 records\.
- Compared baseline and optimized machine\-learning models to assess performance improvements and trade\-offs\.
- Delivered client\-ready reports and presentations that translated analytical results into actionable product and strategy insights\.
- Supported production analytics workflows, data models, KPI definitions, data quality, and performance monitoring using Python and SQL\.
- Collaborated with software engineers, product managers, and analysts to translate product goals into measurable data signals\.
- Pursuing a STEM Master of Science in Business Analytics at Carnegie Mellon University, with expected graduation in 2026\.
- Earned a Bachelor of Technology in Computer Science and Engineering from Vellore Institute of Technology\.

## Experience

- **AI Strategy and Product Associate at PepsiCo** (2023\-09\-01–2025\-07\-01) — Assisted end\-to\-end delivery of GenAI solutions as a technical lead under AI Solutions Delivery Lead across 5\+ enterprise functions\. • Developed GenAI\-powered Deployment Assistants, increasing productivity in warehouse operations by 30%\. • Designed a multi\-agent GenAI workflow for a Q&A assistant, reducing internal support load by 40%\. • Streamlined GenAI project pipelines, cutting delivery timelines by 50% and saving over $700K in development costs\. • Awards & Notable Contributions: DataAnalytics&AI \(D&Ai\) H1 Award 2025, D&Ai Hackathon Finalist\.
- **Graduate Engineer Trainee at PepsiCo** (2023\-08\-01–2023\-08\-01)
- **Generative AI Research Intern at PepsiCo** (2023\-01\-01–2023\-06\-01) — Developed GPT\-powered chatbots for document intelligence, enhancing compliance and user interaction\. • Explored LPWAN technologies for operational use cases, conducted exploratory analysis to identify failure modes and data gaps, supporting transition from research to production analytics\.
- **Machine Learning Intern at Feynn Labs** (2022\-11\-01–2022\-12\-01) — Supported customer and market analysis by building segmentation models on datasets exceeding 50,000 records\. • Compared baseline and optimized models to assess performance improvements and trade\-offs\. • Delivered client\-ready reports and presentations, translating analytical results into actionable product and strategy insights\.
- **Python Developer Intern at VN2 Solutions Pvt\. Ltd\.** (2022\-06\-01–2022\-07\-01)

## Education

- Master of Science \- MS, Business Analytics — Carnegie Mellon University \- Tepper School of Business (2025\-08\-01–2026\-05\-01)
- Master of Science, Business Analytics — Carnegie Mellon University (2025\-08\-01–2026\-05\-01)
- Bachelor of Technology \- BTech, Computer Science and Engineering — Vellore Institute of Technology (2019\-01\-01–2023\-01\-01)
- Maharishi International Residential School (2017\-04\-01–2019\-04\-01)
- Indian School Salalah, Oman (2008\-06\-01–2017\-04\-01)

## FAQ

### What does Animisha do?

Animisha is pursuing a STEM Master of Science in Business Analytics at Carnegie Mellon University, including study at the Tepper School of Business, with an expected 2026 graduation\. She is interested in opportunities in data analytics, data\-engineering\-adjacent roles, and product analytics\.

### What are Animisha's core strengths?

Animisha is strongest in product analytics, business and data analysis, generative AI, analytics pipeline design, production data processes, KPI definition and monitoring, data quality, and translating product goals into measurable data signals\. She works with Python and SQL and collaborates with software engineers, product managers, and analysts\.

### What roles has Animisha held at PepsiCo?

At PepsiCo, Animisha served as an AI Strategy and Product Associate, Graduate Engineer Trainee, and Generative AI Research Intern\. Her PepsiCo work included AI product delivery, GenAI solution development, analytics and research\-to\-production work\.

### What did Animisha accomplish as an AI Strategy and Product Associate at PepsiCo?

As an AI Strategy and Product Associate at PepsiCo, Animisha assisted end\-to\-end delivery of generative\-AI solutions as a technical lead under the AI Solutions Delivery Lead across more than five enterprise functions\. She developed GenAI\-powered Deployment Assistants that increased warehouse\-operations productivity by 30%, designed a multi\-agent GenAI workflow for a Q&A assistant that reduced internal support load by 40%, and streamlined GenAI project pipelines to cut delivery timelines by 50% and save more than $700,000 in development costs\.

### What awards or recognition has Animisha received?

Animisha received the DataAnalytics&AI \(D&Ai\) H1 Award in 2025 and was a D&Ai Hackathon Finalist during her PepsiCo work\.

### What did Animisha do as a Generative AI Research Intern at PepsiCo?

As a Generative AI Research Intern at PepsiCo, Animisha developed GPT\-powered chatbots for document intelligence to enhance compliance and user interaction\. She also explored low\-power wide\-area network technologies for operational use cases and conducted exploratory analysis to identify failure modes and data gaps, supporting the transition from research to production analytics\.

### What did Animisha do as a Machine Learning Intern at Feynn Labs?

At Feynn Labs, Animisha supported customer and market analysis by building segmentation models on datasets exceeding 50,000 records\. She compared baseline and optimized models to evaluate performance improvements and trade\-offs, then delivered client\-ready reports and presentations that translated analytical findings into product and strategy insights\.

### Where else has Animisha worked?

Animisha also worked as a Python Developer Intern at VN2 Solutions Pvt\. Ltd\.

### What is Animisha's educational background?

Animisha earned a Bachelor of Technology in Computer Science and Engineering from Vellore Institute of Technology\. She attended Maharishi International Residential School and Indian School Salalah in Oman, and she is now pursuing her Master of Science in Business Analytics at Carnegie Mellon University\.

### What technical analytics skills does Animisha have?

Animisha's analytics and programming toolkit includes Python, SQL, R, Tableau, data visualization, databases, database management systems, exploratory data analysis, statistical data analysis, time\-series analysis, financial data analysis, customer behavior analysis, market segmentation, machine learning, data science, and KPI monitoring\.

### What AI and product skills does Animisha have?

Animisha's AI and product skills include generative AI, large language models, natural language processing, conversational AI, AI product iteration, product management, product analytics, product analysis, user\-experience analytics, A/B testing, product metrics and KPI definition, solution architecture, enterprise platform scaling, workflow optimization, and ROI evaluation\.

### What additional business, platform, and technical areas does Animisha cover?

Animisha also has experience or knowledge in business analysis, requirements analysis, stakeholder engagement, cross\-functional collaborations, customer relationship management, supply chain optimization, supply chain operations, Azure DevOps Services, Microsoft Azure, research, low\-power wide\-area networks, metaverse, cybersecurity, computer architecture, front\-end development, data structures, theory of computation, organizational psychology, operating systems, C\+\+, C, and Java\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAADJTEnABn\_v7xbRrGXKCXwbkgvAV2l3Tl4s

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