Data Analytics & BI Professional | MS Information Management @ UIUC | Previously Amazon & LTIMindtree
I build production-grade data pipelines, BI dashboards, and AI-powered analytics tools. My background spans compliance analytics at Citibank (via LTIMindtree), audit BI at Amazon, and a Master's in Information Management at UIUC with a GPA of 3.95.
Over the past year I have been learning AI and LLM APIs from scratch and built three live projects to show what I learned.
| Project | Domain | Stack |
|---|---|---|
| Healthcare Claims Analytics Pipeline | Data Engineering, ML | Python, SQL, scikit-learn, SMOTE |
| Retail Analytics Dashboard | BI, Cloud Data Warehouse | Azure, Power BI, DAX, Azure Data Factory |
| Car Insurance Claims on AWS | Cloud ML, Risk Modeling | AWS SageMaker, S3, Python, SHAP |
| Breast Cancer ML Classifier Evaluation | ML Research | Python, scikit-learn, GridSearchCV |
| Fast Fashion Supply Chain Optimization | Analytics, Regression | R, ggplot2, dplyr |
Languages and Query
SQL Python R DAX
BI and Visualization
Power BI Tableau QuickSight Streamlit Plotly Advanced Excel
Cloud and Platforms
Snowflake AWS Redshift AWS SageMaker
Data Engineering and ML
ETL/ELT Pipelines Dimensional Modeling Star Schema Data Quality scikit-learn SHAP Anomaly Detection
Methods and Tools
Agile Jira Alteryx Git/GitHub Stakeholder Management
Amazon โ Business Intelligence Engineer Intern, Internal Audit (Summer 2025)
LTIMindtree โ Software Engineer, BI and Compliance Analytics at Citibank (2022 to 2024)
UIUC โ MS Information Management, GPA 3.95 (2024 to 2026)
