I help teams put data to use to make decisions and reorganize processes. I've used my data analytics, machine learning, and technical project management skills in a variety of international tech and e-commerce projects over the past 15 years. I like building rapport and being empathetic with my colleagues and clients, and understanding their needs.
I hold a Data Analytics Certification from George Washington University, an active public trust security clearance, and U.S. Citizenship.
Media bias analysis. Building the predictive model of mass media language using NLP (20 million articles).
Tech used: BeautifulSoup, MongoDB, Pymongo, Selenium, Pandas, Pickle, FastAI, Pytorch, Spacy, Scikit-learn.
The Washington Metropolitan Transit Authority (WMATA) provides bus and rail transit to the Washington region. Transporting over 300,000,000 passengers a year WMATA is facing many challenges concerning safety, ridership, and funding. Why Metro ridership is declining? What factors impact Metro performance and does Metro impact other transportation resources? Various regression models comparison.
Tech used: Pandas, Numpy, Seaborn, Matplotlib, Requests
The project retrieves the data from the United States Geological Survey API and visualizes the earthquakes around the world that happened in last 7 days.
Tech used: D3.js, Leaflet.js, Heroku
Universal Service Administrative Company (USAC) E-rate Program Analysis.
Tech used: Sodapy, Socrata, Pandas, Numpy, Matplotlib, Seaborn, Plotly Dash.
Computer Science & Information Technology
Apart from analyzing data I enjoy playing soccer, taking photos and cooking. And skiing, I'm a certified ski instructor