- 🎯 Passionate about transforming data into actionable insights that drive decisions
- 💻 Skilled in Python, SQL, Power BI, Tableau, and Snowflake
- ☁️ Hands-on with AWS (S3, Redshift, Lambda) and GCP & Azure for cloud analytics
- 🚀 Experienced in business analysis, KPI dashboards, and automation
- 📈 Strong foundation in data modeling, ETL workflows, and agile methodologies
- 💬 I enjoy building analytical dashboards, scalable databases, and recommendation systems
| Category | Tools / Technologies |
|---|---|
| Programming & Analytics | Python (Pandas, NumPy, Scikit-learn, Matplotlib), SQL |
| Visualization & BI | Power BI, Tableau, Google Data Studio, Excel (Pivot Tables, Power Query) |
| Databases & Cloud | MySQL, Snowflake, AWS (S3, Redshift, Lambda), GCP, Azure |
| Project & Tools | Power Automate, Asana, Trello, MS Project, Agile/Scrum |
| Other | Business Analysis, Regression Testing, A/B Testing, Data Cleansing, Git/GitHub |
- 🧩 Google Advanced Data Analytics
- 📊 Google Business Intelligence
- 📈 Tableau Fundamentals
- ☁️ AWS Cloud Foundations
- 💾 Amazon Redshift Essentials
- 🧮 HackerRank SQL Intermediate
| Project | Description | Tech Stack |
|---|---|---|
| ⭐ Yelp Business Sentiment Analysis | Processed 5GB Yelp JSON data on AWS S3 & Snowflake, created sentiment tagging pipeline with Python UDFs. | Python, SQL, Snowflake, AWS |
| 💰 Gender-Based Wage Gap Analysis (LMU Datathon) | Built Power BI dashboard analyzing 25K+ Census records; identified a 26.4% wage gap. | Power BI, Python, Pandas |
| 📦 UPS Logistics Database Management System | Designed a MySQL database in 3NF with optimized queries and ER diagrams. | MySQL, SQL, Database Modeling |
| 🎬 Netflix Recommendation System | Streamlit web app recommending movies based on similarity metrics. | Python, Streamlit, Pandas |
| 🛍️ Amazon Sales Dashboard | Power BI dashboard with sales KPIs, trends, and insights for Amazon store performance. | Power BI, Excel |
⭐ “Data transforms businesses only when stories meet strategy.”