Jesse Byers

Jesse Byers

Data scientist and software engineer with 15+ years of experience spanning curriculum development, education leadership, and full-stack engineering.

Skilled in Python, SQL, machine learning, and web application development, with a proven record of designing analytics tools, building scalable systems, and improving student outcomes through data-driven decisions. Adept at translating complex data into actionable insights, working effectively on cross-functional teams, and communicating technical concepts to non-technical audiences. Seeking a data analytics role focused on advancing outcomes in education, health, or the environment.

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Portfolio

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Random Forest Classification of Rheumatic and Autoimmune Diseases

Random Forest Classification of Rheumatic and Autoimmune Diseases

Predictive model to support early diagnosis of difficult-to-diagnose rheumatic and autoimmune diseases.

Python, Scikit-Learn, MatplotLib, Seaborn

Project Type: Academic
My role: Designer and Data Scientist

Completed full data analytics lifecycle using real-world medical data.

Tested and compared four strategies for handling missing values.

Developed a Random Forest classifier with hyperparameter tuning via Random Search.

Evaluated model with accuracy, F1-score, confusion matrix, and permutation testing.

Delivered recommendations for improving model performance in future studies.

Seedling Classification Using Convolutional Neural Network

Seedling Classification Using Convolutional Neural Network

Neural network to classify and differentiate 12 common crop and weed seedlings.

Python, Pytorch, Scikit-Learn

Project Type: Academic
My role: Data Scientist

Augmented training data to balance classes and increase image diversity.

Tuned hyperparameters and applied early stopping to prevent overfitting.

Evaluated model using overall accuracy and class-level performance via confusion matrix.

Project name

Sentiment Analysis Through Natural Language Processing

Neural network to classify user reviews as positive or negative.

Python, Tensorflow, Natural Language Toolkit (NLTK)

Project Type: Academic
My role: Data Scientist

Developed a deep learning binary classifier combining CNN and LSTM blocks.

Explored, cleaned, tokenized, and padded unstructured textual data.

Tuned hyperparameters and applied early stopping to prevent overfitting.

Rhymewit Home Page

Rhymewit

EdTech tool providing rhyming fill-in-the-blank lyrics set to hip hop beats for classroom learning.

JavaScript, Next.js, React.js, GraphQL, Google APIs

Project Type: Paid Contract
My role: Software Engineer

Researched and implemented solutions to export student data for a teacher dashboard.

Integrated Google Sheets API into a full-stack GraphQL and React application.

Developed a student-facing dashboard with gamification features (badges, stars) to track progress.

Collaborated with the team to plan and implement new features based on user testing and data analysis.

COVID-19 World Tracker Dashboard

COVID-19 World Tracker

A web-based tool for visualizing and comparing COVID-19 data on a global scale.

JavaScript, React.js, D3.js

Project Type: Personal Project
My role: Designer and Developer

Built interactive dashboards and map visualizations using React and D3.

Enabled custom country comparisons with real-time data from multiple APIs.

Visualized historical data from the start of the pandemic to present.

Fully documented project in DEV blog series (no longer maintained due to API access limitations).

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