- LinkedIn Profile
- Leadership
- Project management
- Data analytics
- Data mining
- Machine Learning with Python
- Process improvement and automation
- Database configuration and advanced querying
- Software testing, debugging, program automation and program development
- Fluent on Linux and Windows.
- Git, Bash, Script, VBA, Web-development
- Notable languages:
- Python, Java, C programming, HTML5, CSS
- Notable database experience:
- PostgreSQL, MySQL, MariaDB, SQLite3, MongoDB, IBM db2
- Visual Data Reporting
- Python Dashboards (Bokeh, Matplotlib, plotly, Seaborn), Microsoft Power BI, Tableau
- M.C.S., Northeastern University, Computer Science - 2017 - 2018
- B.S., Massachusetts Maritime Academy, International Business - 2013
- Introduction to Data Science
- Stood-up a start-up company's database system and automated reporting system. Converted the initial data from MS Excel files and MS Access databases into a more dynamic and efficient database.
- Used ETL pipelines to configure the datasets into a centralized location using Python and SQL.
- Created plans for managing customer freight in logistics industry with a Transportation Management System (TMS); worked with third party EDI and API contractors for a 'live' look at customers freight
- Developed an employer's intranet for operational purposes available to necessary employees, intranet included:
- Company customer's along with all their contact details and lead point of reference
- Assigned sales personnel to specific customers for references along with all business details
- Developed proprietary website for customers to log-on and view current market rates for imported goods into the US, with the ability to compare employers capacity and rate availability with their current rates
- Website was developed using Python's Django web-framework
- Utilizing Python and its scientific libraries, I created an analysis for suggesting a new bar location in Boston, MA.
- Analyzed location data by webscraping Boston neighborhood information along with utilizing FourSquare's API in order to reference the Boston location data and local businesses.
- I utilized tools such as folium, Google Geocoding API, FourSquare API, k-means clustering algorithm, bar-charts, pandas, numpy, shapely (to name a few).
- I published my analysis and findings on Medium.com, you may view the link here
- Created a malloc function library similar to that built into Linux packages
- Recreated a 'cat' function also a popular command within the Linux terminal
- Testing Suit for the DMTCP coordinator -> used to stress-test the PID name spacing implementation
- Created interactive blog by adding the Bottle Python framework to MongoDB - Blog site stores its data on a MongoDB dataset, while the Bottle framework is used for the interface and the overall logic of the website
- Created multiple game replica's using programming languages such as Python and Racket
- Obtained my FAA Part 107 License for sUAS operations
- Completed Aquiline Drone's Drone on Demand (DoD) training program
- Currently building a website and foundation for my LLC (DroneLink LLC), housed under Aquiline Drone.