Data Analyst

Michael Oduwole

574-***-**** ************@*****.*** linkedin.com/in/michaeloduwole11 github.com/mikeyody EDUCATION

Frederick Community College August 2024 – 2026

Degree: Computer Science GPA: 3.8 Dean’s List

Relevant Coursework: Data Structures & Algorithms, Object Oriented Programming TECHNICAL SKILLS

● Programming Languages: Python, Java, SQL, SAS, HTML, CSS.

● Tools & Databases: Excel, Power BI, Tableau, Pandas, SAS Macros, PC SAS 9.4, KPIs, JSON, XML

● SAS Procedures: PROC SORT, PROC TRANSPOSE, PROC FORMAT, PROC COMPARE, PROC SQL, PROC REPORT, PROC TABULATE, PROC CONTENTS, PROC COPY, PROC MEANS, PROC FREQ, PROC GPLOT, PROC PRINT & PROC UNIVARIATE, PROC RANK and PROC SUMMARY

● Concepts: Data Cleaning, Data Structures, Data Visualization, Data Modelling, Web Scraping

● Operating System: Windows, Linux, MacOS.

CERTIFICATIONS

● Structured Query Language (SQL) - University of Michigan via Coursera (Issued June 2025)

● SAS Certified Specialist: Base Programming Using 9.4 - SAS Institute (Issued July 2025)

● Python For Everybody - University of Michigan via Coursera (Issued August 2025) EXPERIENCE

Data Analyst Intern E-commerce (DyodConsulting - Etsy)June 2023 – Present

● Analyzed 5000+ sales and customers records using Excel, SAS and Etsy analytics to identify revenue trends and improve product visibility by 20%.

● Automated weekly performance reports using advanced SAS procedures (PROC SQL, PROC MEANS, PROC FREQ, PROC REPORT & PROC TRANSPOSE), reducing reporting time by 40% and enhanced decision-making.

● Built and implemented a data-driven pricing optimization model using Excel and SAS, increasing conversion rates by 25% and reducing promotional ad spend by 10%.

● Designed dynamic KPI dashboards in Excel and Power BI, reducing manual reporting time by 60%.

● Analyzed SKU performance to optimize inventory and increase high-margin product sales by 15%. PROJECTS

Medical Records Database Frederick Community College Spring, 2025 Technologies Used Java, Data Structures, File Processing

● Designed a scalable backend system managing 1,000+ patient records and associated prescription data, improving retrieval efficiency by 30%.

● Built 5 custom data structures, including linked lists and binary search trees, from scratch to optimize search, storage, and data traversal operations.

● Integrated CSV import/export capabilities, handling thousands of entries for real-world healthcare integration.

● Developed algorithms to check 10+ types of drug interactions, enhancing safety and compliance in medical prescriptions. Conducted unit tests across 50+ test cases, ensuring system reliability and scalability. Data Cleaning Assistant Independent Project Summer, 2025 Technologies Used Python, SQLite, Pandas

● Designed a modular SQLite auditing tool with 4 core functions to detect nulls, duplicates, and statistical outliers, improving data review efficiency.

● Streamlined quality checks by 70% through IQR-based anomaly detection and real-time reporting via pandas integration.

● Simulated real-world healthcare anomalies using 8 patient records with intentional nulls, outliers, and duplicates to validate system robustness.

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