Reggie Jan Marc Nillo account profile

Personal details

Reggie Jan Marc Nillo

Location

Lives in Tysons, Virginia, United States

Highlights

IBM Data Science_logo

IBM IBM Data Science Professional Certificate

IBM Introduction to Machine Learning_logo

IBM Introduction to Machine Learning Specialization (IBM)

Highlights

IBM Data Science_logo

IBM IBM Data Science Professional Certificate

IBM Introduction to Machine Learning_logo

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 preview image

Applied Data Science Capstone

Category: Exploratory Data Analysis
Category: Data Presentation
Category: Dashboard Creation
Category: Predictive Modeling
Category: Pandas (Python Package)
Category: Data Science
Category: Model Training
Category: Predictive Analytics
Category: Classification And Regression Tree (CART)
Category: Statistical Machine Learning
Category: Statistical Reporting
Category: Data Visualization Software
Category: Data Analysis
Category: Model Evaluation
Category: Leaflet (Software)
Category: Applied Machine Learning
Category: Interactive Data Visualization
Category: GitHub
Category: Model Optimization
Category: Plotly

•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 Data Science_logo

IBM IBM Data Science Professional Certificate

Category: Python Programming
Category: Data Science
Category: Data Analysis
Category: R Programming
Category: Machine Learning

Completed August 2023

IBM Introduction to Machine Learning_logo

IBM Introduction to Machine Learning Specialization (IBM)

Category: Machine Learning
Category: Machine Learning Algorithms
Category: Algorithms
Category: Statistical Machine Learning
Category: Human Learning

Completed December 2023

Courses

IBM_logo

IBM · Course

Unsupervised Machine Learning

Category: Linear Algebra
Category: Dimensionality Reduction
Category: Machine Learning Algorithms
Category: Machine Learning
Category: Algorithms

Completed November 2023

IBM_logo

IBM · Course

Supervised Machine Learning: Classification

Category: Human Learning
Category: General Statistics
Category: Machine Learning
Category: Decision Making
Category: Python Programming

Completed October 2023

IBM_logo

IBM · Course

Supervised Machine Learning: Regression

Category: Regression
Category: Statistical Tests
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Data Analysis

Completed September 2023