Open to opportunities

Angel Robertson

@angelrobertson

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Data Science student skilled in Python, SQL, and machine learning for actionable financial insights.

United States

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What I'm looking for

I am looking for an internship or entry-level role in data science or analytics that offers mentorship, hands-on projects in financial analytics, and opportunities to develop ML and modeling skills.

I am a detail-oriented Data Science & Analytics student with strong foundations in statistics, programming, and data-driven decision-making. I have hands-on experience cleaning, analyzing, and interpreting structured datasets to generate actionable insights for stakeholders.

In academic projects I built and validated predictive models using Python and scikit-learn, performed feature engineering, and applied statistical techniques to evaluate operational efficiency and identify downtime factors. I translate technical results into clear visualizations and structured reports using Matplotlib, Seaborn, and Tableau.

I am self-motivated, collaborative, and eager to apply machine learning and financial analytics skills in an internship role to support data-informed strategies and risk assessment at a growing organization.

Experience

Work history, roles, and key accomplishments

Data Science Intern

BHG Financial

Applied data cleaning, statistical analysis, and predictive modeling to generate actionable insights for operational efficiency and risk assessment; communicated findings via visualizations and structured reports.

NumPy scikit learn SQL Data Cleaning Statistical Modeling EDA SeaBorn Tableau Excel Git

Education

Degrees, certifications, and relevant coursework

Kennesaw State University

Bachelor of Science, Data Science & Analytics

Grade: 3.5 GPA

Activities and societies: Academic projects include manufacturing line productivity analysis and predictive modeling; relevant coursework: Computer Applications of Statistics, Data Management, Programming & Problem Solving, Applied Regression Analysis.

Pursuing a Bachelor of Science in Data Science & Analytics with coursework and projects focused on statistical modeling, data management, and predictive modeling; expected graduation May 2028.