Updated 2025

Robert Dennis

Data Analyst | Machine Learning Researcher | Founder

Building data-driven solutions through research, analytics, and entrepreneurship.

Download Resume (PDF)

Contact Information

Phone: (478) 841-1381
Email: mr.dennis2016@outlook.com
Website: robertthescientist.com
GitHub: RobertTheMenaceDennis16

Education

Savannah State University | B.S. Data Analytics (Aug 2024 – Current)
Involvement: CONCISE Program, C-F.I.V.E. Computer Science Club

Strayer University | A.B.A. Entrepreneurship (Jan 2022 – July 2024)
Honors: President’s List, Phi Theta Kappa

Workshops & Professional Development

  • NASA 3-Hour Data Exploration Workshop
  • S3TEM Workshop — “Sell Yourself”

Technical Skills

  • Data Science & ML: Python (Pandas, NumPy, Scikit-Learn, TensorFlow), R, Jupyter Notebooks, Google Colab
  • Data Analytics: SQL (PostgreSQL, SQLite), Tableau, Power BI, Excel, A/B Testing, Time Series Analysis
  • Web Development: React.js, Flask, Jinja2, REST APIs, psycopg2-binary, BCrypt, Render
  • Mathematics: Calculus I & II, Matrix Algebra, Linear Algebra, Regression & Cluster Analysis
  • Soft Skills: Critical Thinking, Problem-Solving, Leadership, Communication, Collaboration

Research & Professional Experience

Founder & Product Lead — Rentern (Jan 2025 – Present)

  • Developed a full-stack SaaS platform allowing small businesses to outsource task-based projects to interns.
  • Engineered backend using Flask and PostgreSQL for workflow management and pricing automation.
  • Applied analytics to market validation and service optimization to improve onboarding efficiency.
  • Collaborated with a computer science partner on platform development and deployment.

Machine Learning Research Intern — U.S. Coastal Research Program (USCRP) (May 2025 – Aug 2025)

  • Migrated legacy MATLAB scripts to R for automated data collection via APIs.
  • Created an interactive data dashboard visualizing coastal well metadata.
  • Evaluated multi-dimensional oceanographic variables to detect environmental impacts on coastal datasets.

Research Fellow — CONCISE Program (ML & Cybersecurity) (Jan 2025 – Dec 2025)

  • Participated in workshops covering Machine Learning I & II and Cybersecurity I–III.
  • Executed advanced ML research projects and predictive threat modeling exercises.

Machine Learning Research Intern — Department of Energy, Savannah State University (Aug 2024 – May 2025)

  • Analyzed time-series data from hydroelectric turbine malfunctions to identify failure patterns.
  • Built a Random Forest model that reduced margin of error by 15%.
  • Presented actionable insights and technical visualizations to DOE sponsors.

Professional Summary

Data Analytics senior with expertise in Machine Learning, full-stack web development, and SaaS entrepreneurship. Experienced in federal research programs and predictive modeling, with proven ability to reduce model error rates and launch independent platforms. Combines technical depth with business acumen to deliver impactful data-driven solutions.