Data Science and Analysis Student - Python, SQL, Visualization

CHERISH WALKER

St. Louis, Missouri

School Email: ******@********.*** Personal Email: ***************@*****.***

314-***-****

PROFESSIONAL SUMMARY

Detail-oriented Data Science and Analysis student in the Honors College at the University of Missouri–St. Louis has a 3.6 GPA and an emphasis in Computer Science. Experienced in Python, SQL, statistical modeling, and financial data analysis. Supported executive-level decision-making through structured data analysis at a national financial institution. Seeking a data science internship to apply analytical and programming skills to real-world datasets. EDUCATION

University of Missouri–St. Louis

Bachelor of Science in Data Science and Analysis, Emphasis in Computer Science Expected May 2027

GPA: 3.6

Relevant Coursework: Statistical Methods, Linear Algebra, Data Structures, Algorithms, Database Systems, Cyber Threats, Data Visualization WORK EXPERIENCE

National Workers Credit Union of The Bahamas

Assistant to the Chief Executive Officer

Summer 2024 – Summer 2025

• Analyzed financial and operational data to support executive-level strategic decisions

• Cleaned and structured cross-departmental datasets to improve reporting accuracy and data consistency

• Identified trends in performance metrics using quantitative analysis

• Assisted in preparing data-driven executive reports and summaries

• Collaborated with department leaders to improve data collection processes PROJECT EXPERIENCE

Statistical Data Modeling Project

• Developed custom probability distribution functions using Python without reliance on built-in statistical shortcuts

• Calculated mean, variance, and standard deviation through programmatic implementation

• Conducted exploratory data analysis to interpret patterns in structured datasets

• Visualized data using matplotlib to communicate analytical findings Full-Stack Data Application

• Designed a PostgreSQL database schema to manage structured user data

• Built a backend application programming interface (API) using Express to handle data retrieval and updates

• Integrated a React frontend to display dynamic data

• Tested endpoints using Insomnia to ensure data integrity SCADA System Vulnerability Analysis

• Analyzed industrial control system data to evaluate cybersecurity risks

• Identified authentication and encryption vulnerabilities across system components

• Proposed data-driven mitigation strategies based on risk assessment findings

• Documented results in a structured technical report TECHNICAL SKILLS

Python, SQL, JavaScript, Pandas, NumPy, Matplotlib, PostgreSQL, Git, GitLab, Docker, Data Cleaning, Statistical Modeling, Data Visualization, Regression Analysis, Hypothesis Testing

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