Data Analyst Software Development

ETHAN EBARVIA

+1-630-***-**** ************@*****.*** Bolingbrook, IL, USA linkedin.com/in/ethan-ebarvia github.com/ELO0o EDUCATION

North Central College August 2022 - May 2025

Bachelor's, Computer Science GPA: 3.64/4.0

Relevant Coursework: Data Structures and Algorithms, Operating Systems, Artificial Intelligence, Data Mining, Discrete Mathematics, Computer Architecture and Design, and Object-Oriented Software Development, Linux, Calculus I, Calculus II, Statistics.

SKILLS

Python, Java, SQL, JavaScript, C/C++, Tensorflow, Keras, Pytorch, Pandas, NumPy, Linux/Unix, Computer Vision, Data Analysis, Data Science, Data Structures & Algorithms, Financial Analysis, Natural Language Processing, Git, Agile. PROFESSIONAL EXPERIENCE

Elmhurst University Elmhurst, IL, USA

Data Analyst June 2024 - July 2024

• Engineered 100+ graph features using NetworkX based on 5-year correlation matrices between 17 stock tickers.

• Automated the building and training of 300+ LSTM models using Pandas, NumPy, TensorFlow/Keras, and Optuna; efficiently optimizing models for sMAPE and RMSE, incorporating early stopping and dropout to prevent overfitting.

• Presented findings in a research symposium and research paper, including visualizations from matplotlib and seaborn. North Central College Naperville, IL, USA

IT Assistant September 2023 - May 2025

• Delivered exceptional technical support to over 2,500 students and 200 faculty at North Central College.

• Assisted technical and non-technical campus personnel in troubleshooting Windows, macOS, Microsoft Office 365, Google Chrome, iOS, Android, security configurations, and wireless connectivity issues.

• Utilized Request Tracker to create, modify, and resolve tickets pertaining to technical issues on campus. Elmhurst University Elmhurst, IL, USA

Peer Mentor October 2024 - May 2025

• Tutored two historically underrepresented racial and ethnic minority freshmen to learn Python and Java.

• Helped mentees develop developmental skills for future data-driven projects that have doubled the number of underrepresented minority (URM) students graduating with STEM majors in the alliance institutions. PROJECTS & OUTSIDE EXPERIENCE

Multi-model MNIST-Fashion Classification: Python

April 2024

• Developed convolutional neural network (CNN), multilayer perceptron (MLP), and autoencoder models in TensorFlow and PyTorch, achieving 91.13%, 88%, and 86% test accuracy, respectively.

• Conducted comparative evaluation using classification reports, confusion matrices, and loss/accuracy plots.

• Collaborated in research writing and presented technical analysis in a formal presentation. National Conference on Undergraduate Research (NCUR) 2025 Pittsburgh, PA, USA Student Presenter April 2025

• Presented research comparing if exogenous (centrality measures) or non-exogenous models better predicted stock prices, finding statistical significance (p=0.025) in lagged exogenous model performance over non-exogenous models. Portfolio Optimization: Python and SQL January 2025 – May 2025

• Developed Monte Carlo simulator for investment growth with historical data and NumPy-based random walk models.

• Stored real-time market data in SQLite, then queried it in Python for dynamic portfolio generation.

• Optimized portfolio weights using Sharpe ratio and user constraints, such as age, risk tolerance, and retirement goals. Business Management Menu: C++

September 2023 - December 2023

• Worked in a group of 3 to construct a multi-layered business menu for storing, managing, and updating transaction records, waitlists, staff commissions, customer records, and account information.

• Facilitated efficient data management through implementing object-oriented design/programming, applying concepts such as abstraction, inheritance, encapsulation, and polymorphism.

Contact this candidate