Data Science, Machine Learning, design security, dynamic algorithms

RONALD WEIL JR.

******@********.*** linkedin.com/in/Ronald-Weil/ github.com/Junior-Weil

EDUCATION

Bachelor of Computer Science, Bucknell University Expected 2025

• Cumulative GPA: 3.1

• Relevant Coursework: Data Mining, Computer Architecture, Design and Analysis of Algorithms, Operating Systems, Computer Architecture, Operating System Design, Full-Stack Web Dev, Computer Networks and Security. Physics Minor Expected 2025

• Relevant Coursework: Applied Electronics, Digital System Design, Electrical and Computer Engineering Analysis. SKILLS

Technical Skills:App Development, SQL Databases, Machine Learning, Encryption, Security, Embedded Systems, Circuit Design, Algorithm Design, Scrum Development Proficient in:Python, C, C++, Linux, Git, Anaconda, SQLite, MariaDB, TypeScript, Next.js, Java, React Native Familiar with:Rstudio, Verilog, Tensorflow, Scipy, JavaScript, Qiskit, MLxtends, SciKeras, Keras, Golang, OCR, Phoenix EXPERIENCE

Full Stack App Development June 2024 - January 2025 Diet Detective Houston, TX

• Developed and implemented AI food recognition and OCR label reading features along with front end for the features. Datadrive Team Developer August 2024 - Present

Bucknell Mechanical Engineering Department Houston, TX

• Designed and implemented MariaDB database and Python interface for sensor data collected from a kinetics research vehicle. PROJECTS

Kaggle Home Credit - Credit Risk Modeling. Created gradient-boosted models to predict if a loan should be approved for people without a credit score. Major challenges included data cleaning, runtime limitations, and a large data set with extreme target class imbalance. Packages: Catboost, XGBoost, Numpy, Polars, SciKit-Learn, Pandas, Seaborn, Matplotlib, Imbalanced Learn, SHAP, IPython, Plotly Chaos-Based Encryption Project - Implemented a cryptographically secure, robust chaotic function as a pseudo-random number generator for a private/public key encryption program.

Packages: Numpy, Matplotlib, Random, SciPy

AI Trading Bot - ETF trading Bot powered by Neural Network to scrape historical archive of news headlines that mention the ETF. The Neural Network buys or sells depending on whether the article is positive or negative. Packages: Hugging Face - Transformers, Torch, Finbert Utils, Timedelta, Alpaca Trade Api, Lumibot, Datetime EXTRA-CURRICULAR ACTIVITIES

• Association for Computing Machinery Member Bucknell. Attend guest speaker events and participate in computer science community events on Campus.

LEADERSHIP

Community Impact Assistant May 2023 - August 2023

Bucknell Food Securities Program Lewisburg, PA

• Assisted in managing volunteers for the Lewisburg Community Garden and the Milton Weekly Food Drive.

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