Creative Tech Innovator with Analytical Backbone

HAYLTON ILONGA

Canal Winchester, Ohio***** 380-***-**** ***********@*****.***

Education

Southern New Hampshire University

May 2027

B.S., Computer Science (GPA: 3.75)

The Ohio State University Bootcamp

May 2025

data analytics certificate

CodePath

Aug 2026

AI Software Engineering Program

Professional Experience

Walmart/Sam's Club System operator Oct 2018 - Present

•Collected, analyzed, and reported quality assurance data to ensure compliance with GMP and food safety standards.

•Monitored production systems and documented deviations, collaborating on root-cause analysis to resolve recurring issues.

•Implemented and maintained compliance tracking processes, improving reporting accuracy and audit readiness.

•Trained associates on QA policies, regulatory requirements, and documentation systems to strengthen operational compliance.

Wordsmith Documentation Services, LLC IT SharePoint Website Administrator Intern Mar 2026 - May 2026

•Managed and updated SharePoint Online pages and site content.

•Created and maintained news posts and system maintenance alerts..

•Updated site navigation and published content for users.

•Collaborated remotely using Microsoft Teams and Outlook.

Project

Personal Transaction Machine Learning - Software Engineering

•Built an end-to-end dashboard using Python, Plotly, HTML/CSS, and JavaScript to visualize and forecast personal transactions.

•Preprocessed Kaggle transaction data, applied feature engineering, and trained a Linear Regression model for expense prediction.

•Achieved strong model accuracy (R2 = 0.83) in forecasting monthly category-level spending.

•Designed interactive visualizations of income vs. expenses and predicted vs. actual spending trends.

•Demonstrated practical application of machine learning for real-world financial planning and decision support.

Analyzing the most-streamed Track on Spotify - Data Analytics

•Objective: Identified and analyzed top-streamed songs on Spotify to uncover listening trends.

•Focus: Examined track name, artist, stream counts, release date, and genre.

•Data Processing: Cleaned dataset by handling missing values and removing duplicates using Python (Pandas).

•Analysis: Ranked songs by stream counts to determine most popular tracks and artists.

•Visualization: Built bar charts and trend plots with Matplotlib and Seaborn to highlight patterns.

•Conclusion: Provided insights on genre distribution, artist popularity, and key factors driving streams.

AI Career Recommendation System

•Built a Python-based AI/ML project that recommends career paths based on user skills.

•Used text classification and machine learning to match skills with job categories.

•Applied Python, scikit-learn, and data analysis concepts.

Technical Skills

•Programming: Python, SQL, Java, C/C++, JavaScript, HTML/CSS, AI/ML Fundamentals

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