Data Analyst and Data Engineer with experience in:
- Python
- SQL
- Power BI
- Data Cleaning & Transformation
- Data Visualization
- Business Intelligence
I also have professional experience in the security and intelligence sector, specializing in CBRNe.
- Global Terrorism Intelligence Analytics End-to-end intelligence analytics project analyzing over 200,000 terrorism incidents using Python, SQL, SQLite, and Power BI. Identified attack patterns, regional hotspots, organizational activity, and historical trends through geospatial analysis and interactive dashboards.
- Superstore Business Analytics Case Study End-to-end business analytics project using Python, Power BI, and exploratory data analysis to identify sales, profit, and customer trends.
- JPMorgan Chase Quantitative Research Quantitative research project using Python, machine learning, and statistical modeling to forecast commodity prices, value storage contracts, estimate credit default risk, and develop FICO-based risk rating systems.
- E-Commerce Database Management System Designed and developed a relational e-commerce database using SQL and SQLite. Built interconnected tables for customers, products, orders, deliveries, employees, and feedback while enforcing data integrity through primary and foreign key relationships
- ClinicalTrials.gov Neurofibromatosis Data Engineering Python-based data pipeline for extracting, transforming, and storing clinical trial data from the ClinicalTrials.gov API using MongoDB.
- Books to Scrape ETL Pipeline End-to-end ETL and analytics pipeline that scrapes book data, performs data cleaning and exploratory analysis, stores data in SQLite, and answers business questions using SQL.
- Python
- SQL
- Pandas
- NumPy
- Excel
- Power BI
- Google Looker
- Tableau
- Plotly
- PostgreSQL
- SQLite
- Mongo DB
- Git
- GitHub
- Jupyter Notebook
- Visual Studio Code (VS Code)
- IBM SPSS Statistics
- IBM Cognos Analytics
- Data Analytics
- Data Engineering
- Nuclear Security Applications of Data Science