I'm a Data Analyst with a background in SQL, Python, Power BI, Snowflake, and Tableau. I enjoy working with messy data and turning it into something useful — whether that's a clean dashboard, a fraud detection system, or an automated pipeline.
I'm based in the US and actively looking for Data Analyst roles.
Languages: SQL · Python (Pandas, NumPy, Matplotlib, Seaborn) · DAX
BI Tools: Power BI · Tableau · Excel
Databases & Cloud: Snowflake · DuckDB · ETL Pipelines
Other Tools: Scikit-learn · Streamlit · Git · Jupyter Notebook
Strengths: EDA · Anomaly Detection · Data Quality · Fraud Analytics
| Project | What it does | Stack |
|---|---|---|
| 🛡️ Healthcare Fraud Detection | Detects fraudulent medical claims using rule-based anomaly detection and SQL | Python · SQL · Pandas |
| 🔍 Enterprise Data Detective | Profiles enterprise data, flags suspicious transactions, and answers questions in plain English | Python · DuckDB · Streamlit |
| 🛒 E-Commerce Sales Analysis | End-to-end analysis — EDA, regional trends, category performance, and business insights | Python · SQL · Tableau |
| 🔧 Self-Healing Data Pipeline | A pipeline that automatically finds and fixes data issues — missing values, drift, duplicates | Python · SQL |
| ☁️ Amazon Data Analyst Prep | 30 days of SQL, Python, Tableau and case study practice for a Data Analyst interview | SQL · Python · Tableau |