Reggie Jan Marc Nillo account profile
Personal details
Reggie Jan Marc Nillo
Lives in Tysons, Virginia, United States
Highlights

IBM IBM Data Science Professional Certificate

IBM Introduction to Machine Learning Specialization (IBM)
Highlights

IBM IBM Data Science Professional Certificate

IBM Introduction to Machine Learning Specialization (IBM)
Work preferences
Desired roles
Data Scientist
Location preferences
Open to remote work
Not willing to relocate
Additional info
Links & Resume
Due to coursework being tailored to include hands-on experience, my classes included projects that usually lasted up to the end of the associated school year. They were also usually done in teams, so some leadership and teamwork experience were acquired. Growth-focused entry level developer seeking an entry level Software Engineering position (with preference to Python, Java, embedded systems). Preferred industries include Manufacturing, IT, Engineering, Automation, and potentially Defense.
Experience
Projects

Applied Data Science Capstone
•5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)•Completed December 2023
Work history
Software Engineer at iCYLON
(January 2023 - March 2023)
Procured a million pages for a Machine-Learning program that collected, aggregated, and correlated open-source intelligence (OSINT) for subjects of interest, using Neo4j and a Python-developed program that collected publicly available information (PAI), commercially available information (CAI), and foreign government available information (GAI).
Education
Credentials
University of Portland
Bachelor's degree in Computer Science, graduated May 2022
August 2018 - May 2022

IBM IBM Data Science Professional Certificate
Completed August 2023

IBM Introduction to Machine Learning Specialization (IBM)
Completed December 2023
Courses

IBM · Course
Unsupervised Machine Learning
Completed November 2023

IBM · Course
Supervised Machine Learning: Classification
Completed October 2023

IBM · Course
Supervised Machine Learning: Regression
Completed September 2023