About
2+ years of experience in data analytics and enterprise IT systems across a global technology firm (300,000+ employees, ~$22B annual revenue) and a high-growth startup environment, building SQL-driven reporting, ETL/automation pipelines, and dashboard development. Experience in designing executive-ready presentations, charts, and visual dashboards translating complex analytics into concise strategic insights using SQL, Python, PowerPoint, Tableau, and Excel for cross-functional and stakeholder audiences.
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Work
Heartland Community Network (HCN)
Senior Consultant - Data Analyst (Volunteer)
Bloom AI
Data Analyst Intern
Cognizant
Programmer Analyst - Data Analyst
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Education
Computer Science
Purdue University
Computer Engineering
University of Pune
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Skills
Data Analysis & Visualization
Tableau, Power BI, Looker, Excel, A/B Testing, BigQuery
Office Productivity
MS Office, Git/Github
Programming & Scripting
Python, R programming, PySpark, C++, HTML/CSS, Git/GitHub, SQL
Databases & Data Warehousing
MongoDB, Snowflake, BigQuery, Hive
ETL & Workflow Orchestration
Airflow, dbt, ETL Pipelines
Cloud & Enterprise Platforms
AWS Certified Cloud Practitioner, ServiceNow Certified System Administrator, ServiceNow Certified Application Developer, DataCamp - Google Cloud Platform (GCP), DataCamp - NoSQL, ServiceNow
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Projects
Supply chain analysis
This PowerBI dashboard helps stakeholders move from overall supply chain performance to product-level demand issues and finally to supplier and logistics decisions, all using consistent, SKU-level data.
Indiana Food Access Data Library – Food Security Analytics
Built an automated BigQuery + Tableau data pipeline consolidating 150+ food service providers across 11 Indiana counties (87 ZIP codes), identifying 69% service coverage gaps and improving data completeness to 77%, directly influencing funding allocation and operational outreach strategy.
Medical Insurance Cost Prediction
Developed a medical insurance cost prediction model (R2 = 0.89) using LightGBM, explained cost variance with SHAP values, and ensured fairness using Fairlearn.
Digital Performance & Engagement Analytics
Analyzed 3,000+ interaction records to uncover engagement patterns and performance drivers, built KPI dashboards, and developed a SARIMA model to forecast short-term activity trends.
Customer Segmentation & Marketing Analytics (RFM)
Performed Recency, Frequency, and Monetary (RFM) analysis in Python to segment customers into groups (e.g., Champions, At-Risk) and visualized results with Plotly.
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Publications
Human Computer Interface for Physically Impaired
International Journal of Science and Research (IJSR)
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