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Business Analyst and AI Software Engineer
About Me
I'm a data enthusiast, AI engineer, and someone who genuinely enjoys turning messy datasets into meaningful solutions. With a background in Business Analytics and Computer Science, I specialize in building full-stack systems, designing machine learning workflows, and asking, "Can we automate that?"
Originally from India and currently based in the U.S., I've worked on everything from LLM-powered agents to high-volume data pipelines, combining technical rigor with practical impact. When I'm not working with data, you'll find me cooking up experiments in the kitchen or chasing perfect frame!
Work Experience
May 2025 - Present
AI Engineer Intern
Care.com
- Built LLM-powered documentation and dev agents using Cursor and LangChain, increasing engineering throughput by 30%.
- Automated report generation and data ingestion pipelines using n8n, reducing turnaround time by 60% for marketing team.
- Designed prompt-chaining workflows to improve onboarding and automate unit test generation, enhancing engineering efficiency.
Jan 2025 - Apr 2025
AI Engineer Intern
Prediction Guard
- Built LLM-powered agents to automate lead qualification, demo scheduling, and follow-ups in B2B pipelines, resulting in 2–3× increase in engagement and 65% reduction in sales cycle time.
- Benchmarked agent performance against human-led processes, collaborating with R&D to enhance accuracy, response quality, and cost-efficiency.
- Designed scalable evaluation frameworks combining test generation, CI integration, and human-in-the-loop feedback to validate and deploy AI agents.
Jun 2025 - Aug 2025
Graduate Teaching Assistant
Purdue University
- Assisted in delivering graduate-level course "Data Science in the Cloud," emphasizing alignment of descriptive, predictive, and prescriptive analytics for decision-making.
- Supported students in building end-to-end ML pipelines on AWS using SageMaker, Forecast, and cloud-native services for real-world business challenges.
- Mentored project teams through INFORMS CAP framework, focusing on cloud architecture, technical communication, and professional portfolio development.
Jan 2025 - May 2025
Undergraduate Teaching Assistant
Purdue University
- MGMT 305: Business Statistics for Prof. Xing Wang
- Graded undergraduate-level assignments and projects involving regression/statistics modeling and forecasting.
- Held office hours and supported student understanding of core analytics concepts, and visualization techniques.
Sep 2022 - Feb 2024
Programmer Analyst
Cognizant Technology Solutions
- Automated large-scale data pipelines (1TB/month) using Python, SQL, and Shell, transforming raw sales data into analytics-ready outputs.
- Reduced manual overhead by 50% through quality check automation and parameterized monitoring of incomplete/corrupt data.
- Collaborated with downstream Decision Support Systems team; addressed infrastructure delays by engineering contingency processes and improving pipeline uptime.
Jan 2022 - Sep 2022
Programmer Analyst Intern
Cognizant Technology Solutions
- Gained hands-on experience in Java, Spring Boot, React, and AWS through lab exercises and project-based learning.
- Led a 5-member team to develop a hospital appointment system using full-stack technologies, streamlining scheduling and diagnosis visibility.
Education
Master of Science in Business Analytics and Information Management
Purdue University – Daniels School of Business
West Lafayette, IN | Expected Aug 2025
- Focus: AI, Data Science, Business Analytics
- Collaborated with Prediction Guard on LLM-powered AI agents
- Conducted AI research under Dr. Matthew Lanham
- Relevant Coursework: Web Data Analytics, Visual Analytics, Machine Learning, Cloud Computing, Business Statistics
Bachelor of Technology in Computer Science Engineering
PES University
Bengaluru, India | Aug 2022
- Minor: Machine Intelligence and Data Science
- Recipient of Academic Distinction Awards
- Co-authored research on AI-powered note-taking app
- Leadership: Club Head, Pixelloid Photography Club
Projects
Predicting Airbnb Superhosts
Course Project
Machine Learning
Model Evaluation
Tableau
Feature Engineering
- Developed ML models to predict Superhost status using listing data.
- Conducted Difference-in-Differences (DiD) analysis to evaluate program effectiveness.
- Visualized trends and insights using Tableau.
Note-ing Hill: Smart Note-Taking App
Academic Research Project
OCR
Text Summarization
Android SDK
NLP
Java
- Created an Android app using OCR, speech recognition, and text summarization to aid note-taking.
- Co-authored a research paper on the application's AI-driven learning benefits.
SWE-Bench Lite: Does Documentation help?
Independent Experiment | SWE-Bench Dataset + Cursor
GitHub Issue Automation
Cursor
Software QA
Experimental Design
- Evaluated LLM performance (OpenAI, Claude) on resolving GitHub issues using the SWE-Bench Lite dataset.
- Tested whether providing documentation context improved model accuracy in identifying and patching code issues.
- Observed slight performance gains with documentation, validating the role of context in LLM-assisted software engineering.
March Madness Picks Prediction
Kaggle Competition – Crossroads Classic Analytics Challenge
Machine Learning
Neural Networks
Feature Engineering
- Built predictive models to forecast user picks in March Madness tournaments using historical data from inception to 2024.
- Engineered domain-specific features and applied ensemble methods including CatBoost, GBDT, Random Forest, and Neural Networks.
- Achieved 66% accuracy, outperforming baseline models in predicting bracket outcomes.
Burlington Ecommerce Strategy
Technology-Driven Business – Course Project
Market Research
Data Visualization
Business Strategy
- Analyzed Burlington's online sales and web activity to recommend revitalization strategies.
- Created dashboards and summarized key consumer behavior insights.
Licenses & Certifications
Google Professional Data Analytics Certificate
Issued Sep 2021
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
Issued Oct 2024
Forecasting Using Model Studio in SAS Viya
SAS
Issued Apr 2025
Optimization Concepts for Data Science and Artificial Intelligence
SAS
Issued Apr 2025
Tableau Desktop Specialist
Tableau
AWS Certified Cloud Practitioner
Amazon Web Services