Turning DataInto DecisionsThat Move Metrics
I build analytics products that move business metrics — dashboards, ML models, and AI systems. I work at the intersection of analytics, machine learning, and business strategy — building systems that are defensible in front of executives and useful to the people who run the business.
Introduction
Overview
Master's student in Business Analytics at Purdue, with 1.5+ years building data-driven decision systems — from Power BI dashboards that drove operational visibility to multi-agent AI systems that automate corporate finance decisions.
Business Analyst
Translating messy data into decisions stakeholders can defend.
Data Analyst
SQL, Python, and dashboards that make patterns obvious.
Analytics Consultant
Framing the right problem before reaching for the model.
Applied AI Engineer
LangGraph multi-agent systems & ML pipelines in production.
My Journey
Work Experience
Student Intern
Microsoft
- Designed a multi-dimensional Community Health Score combining engagement, quality, responsiveness, and risk signals
- Applied NLP (sentiment, topic modeling) and behavioral metrics on Reddit, GitHub, and Stack Exchange data
- Built an interactive dashboard surfacing declining, healthy, and at-risk communities for leadership decisions
Jan 2026 – Apr 2026
West Lafayette, IN
Jan 2024 – Jul 2025
Indore, India
Junior Analyst
3E WebApps Pvt. Ltd.
- Built and maintained Power BI dashboards tracking sales, operations, and customer KPIs
- Automated recurring performance reports — reduced manual reporting effort by 30–40%
- Generated insights driving stock planning, cost control, and loyalty campaigns through cross-functional collaboration
- Streamlined KPI reporting workflows so stakeholders could make faster, data-driven decisions
Business Analyst & Market Research Intern
Select Brands Pvt. Ltd.
- Analyzed Amazon seller data to optimize ad spend — reduced ACOS by 20% in 3 months
- Conducted market and competitor analysis supporting launch of 10 new self-care products
- Identified product opportunities through data-driven research, contributing to 100% quarterly sales growth
Jun 2023 – Oct 2023
Indore, India
Education
Master of Science in Business Analytics & Information Management
Purdue University — Daniels School of Business · West Lafayette, IN
December 2026
Bachelor of Business Administration in Information Technology
Symbiosis International University · Pune, India
June 2023
Selected Work
Projects.
Problem → Approach → Insights → Impact. Each card opens a full case study with the methodology, code, and quantified outcome.
Marketplace Analytics · 2025
Airbnb Host Retention Optimization
Allocating $1,000 retention gifts to maximize profit, not accuracy
+$557K
platform profit uplift on a 1,312-host test set
Built a profit-aware decision system that increased net profit by $557K by gifting only the 23.4% of hosts where retention dollars actually pay back.
Retail Analytics · 2025
Customer Segmentation & Churn Prediction
Identifying the 28% of customers who drive 83% of revenue
82.8%
of revenue concentrated in top 28.9% of customers
Segmented 5,878 customers from 779K transactions using RFM features and predicted churn risk to enable targeted retention campaigns.
Applied AI / Corporate Finance · 2025
Multi-Agent Financial Decision System
AI agents that simulate a finance committee
~30%
of reasoning errors caught by adversarial agent review
Built a LangGraph system coordinating Strategy, Risk, Finance, and Modeling agents to produce scenario-based corporate finance recommendations.
Financial Risk / ML · 2024
Bankruptcy Prediction Ensemble
Stacked gradient-boosting model for financial distress
0.9056
AUC stacked ensemble on 8K companies × 64 ratios
Two-level stacking ensemble (LightGBM + XGBoost + CatBoost → Logistic Regression) reaching 0.9056 AUC on 8,000 companies × 64 financial ratios.
Toolbox
Skills.
A working stack — analytics tooling, ML libraries, and the cloud environments where it all runs in production.
Analytics & BI
Data & Databases
Programming
ML & AI
Cloud
Methods
Certifications & publications
- ·AWS Certified Cloud Practitioner — Amazon Web Services
- ·Microsoft Azure AI Data Fundamentals — Microsoft
- ·Research paper — Bias-Variance trade-off in ML algorithms — Peer-reviewed journal
Tools & Tech
Day-to-day stack
- Python
- SQL
- Power BI
- Tableau
- AWS
- Google Cloud
- MongoDB
- Databricks
- scikit-learn
- LangChain
I would love to hear from you