Bryan Ortiz

Welcome to my data science portfolio.

Des Moines

BO

About

I am working to become a machine learning engineer. My current expertise includes Python, SQL, data science fundamentals and helping others improve their analytical talents. I am eager to apply my coding, statistical and core machine learning competencies to create technological advances through artificial intelligence.

Certifications

Oracle Database SQL Certified Associate
Oracle•February 2024
CompTIA Security+
CompTIA•February 2023
CompTIA Network+
CompTIA•January 2023
Aviatrix Multicloud Network Associate
Aviatrix•December 2022
CompTIA A+
CompTIA•October 2022

Work Experience

DriveX Network
Data Analytics

Dec 2023 - Feb 2024

Teaching Assistant - University of The Bahamas

Contributed to innovative data analytics career training program that was introduced at the University of the Bahamas. Within this program, 28 professionals were coached as they gained in-demand skills for technology jobs. The coaching included instruction in essential database tools such as SQL, data visualization platforms like Tableau and Excel, and Python programming.

General Assembly
Data Science / Machine Learning

Nov 2023 - Present

Teaching Assistant - Data Science Immersive Fellowship

Co-delivered a 12-week, thorough Data Science Immersive training program featuring Tableau, Python, R, SQL, and Machine Learning. Guided ten students with varying abilities, facilitating hands-on projects and monitoring assessment rubrics for major milestones.

L'Oréal
Data Literacy

Nov 2023 - Jan 2024

Instructional Assistant - Data Literacy Program

Supported lead instructor for L'Oréal's Data Literacy Program for 200+ non-technical participants, tackling data democratization, data lifecycle stages such as ETL and data modeling, and data visualization tools like Tableau and PowerBI. Facilitated coordination with L'Oréal's team, handled participant interactions via polls/trivia, and addressed questions, resulting in a flawless presentation by the lead instructor.

Focus On Community Uplifting, Self-Esteem & Success (FOCUSS)
Python Programming

Oct 2023 - Present

Python Curriculum Developer & Instructor

Directed Python coding curriculum development for a high school district, promoting learning via hands-on exercises and projects in Jupyter notebooks/VSCode, and establishing rapport with multilingual students using dual-language fluency.

Education

University of Iowa

2015 - 2019
B.Science. Neuroscience

General Assembly

2023 - 2023
Data Science Immersive Fellowship

Skills

Python
SQL
R
Pandas
NumPy
Matplotlib
Seaborn
Sklearn
Keras
Tensorflow
Tableau
Excel
Bilingual

Projects

Forecasted Ethereum Prices Using Machine Learning

Analyzed 6 years of hourly Ethereum pricing data from Bitstamp. Developed machine learning pipelines evaluating 5 models including XGBoost, achieving 99.3% predictive power on holdout data.

Python
Pandas
NumPy
TensorFlow
Keras
XGBoost
Hugging Face

Go Bot

Engineered a Go-playing bot utilizing Convolutional Neural Networks (CNN) to understand intricate dynamics in the game of Go, showing an accuracy reaching 15% (baselined: .028%).

Python
Deep Learning
Monte Carlo Tree Search
Keras

Examining Water Usage

Using K-means clustering to group counties based on water use patterns showed big differences in how much water is used for things like watering crops, supplying homes, and mining across counties. The results indicate specific chances for counties to work together to use water better in raising animals, mining, and fish farming as well as hints that people with higher incomes may use more water.

Python
Pandas
K-Means Clustering
DBSCAN
Git

Subreddit NLP

Designed and implemented models to categorize posts with 85-87% accuracy from online posts between two communities, showing potential to understand more about the groups through their language.

Machine Learning
Natural Language Processing
Random Forest
Naive Bayes

Hot Dog or Not Hot Dog Hackathon

Developed a custom image classification model for the 'Hot Dog or Not Hot Dog' hackathon, achieving 74% accuracy. Opted for an original model design instead of transfer learning, gaining insights into convolutional neural networks, data preprocessing, and hyperparameter optimization.

Image Classification
Hyperparameter Optimization
Convolutional Neural Networks

Ames Housing Price Prediction

Employed linear regression techniques in Jupyter notebook to analyze Ames, Iowa housing data from CSV files, achieving an 89% accuracy in predicting sales prices for upcoming listings.

Python
Supervised Machine Learning
Ridge Regression

Census ACT / SAT Scores Exploratory Data Analysis

Analyzed ACT/SAT scores from 2017-2019 to determine regional trends and inform educational resource allocation. After cleaning datasets, merging, and visualizing, insights revealed low academic performance in the Southern region compared to other regions, prompting urgent resource redistribution.

Utility Functions
Pandas
NumPy
Matplotlib

Press ⌘J to open the command menu