Jaida B.

Jaida B.

Data Coordinator @Oklahoma State Department Of Education

Oklahoma City, OK, US
MOBILE NUMBERS
+14•••••••37

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WORK HISTORY

Dec 2024 — Present

Data Coordinator @Oklahoma State Department Of Education

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Collaborates with district personnel in various data collection processes and validates data accuracy for reporting. Execute SQL queries to extract, analyze, and report data, ensuring alignment with federal and state regulations.Serves as the primary point of contact for district staff, resolving data discrepancies, interpreting reports, and addressing data needs and requests. Develop and implement technical documentation and training materials to enhance data handling practices.Coordinates with data analysts to generate reports involving district data to ensure proper functionality of collection processes. Leverages analytical techniques to aggregate, interpret, and present data, driving informed decisions and improving data-driven state regulation.

EDUCATION

2018 — 2020

Moore Norman Technology Center

Biotechnology

2020 — 2024

McLennan Community College

Transient Student

2020 — 2024

Baylor University

Bachelor of Business Administration - BBA, Management Information Systems

2019 — 2020

Oklahoma City Community College

Dual Credit

N/A

St. Louis University

Transient Student, Business

N/A

University of East Anglia

Transient Student, Computer Science

ABOUT JAIDA B.

I have a strong background in data analysis and a passion for cultural integration, using tools like Python, R, SQL, Tableau, and Power BI to turn data into meaningful stories. My studies in Business Analytics and Anthropology give me a unique approach, blending technical skills with an understanding of real-world issues. Key accomplishments include: Analyzing customer shopping trends to properly store inventory, using SQL Server and customer information databases for marketing processes. Crafting machine learning models in R to predict outcomes such as movie genre and shopping/item placement trends, leveraging statistical techniques like regression and classification. Implementing Python-based solutions, such as a student and faculty identity system and a machinery management interface, utilizing OOP principles to optimize user interaction and data security. Creating interactive visualizations that tell compelling data stories, from the cultural impact of movies to the revenue and integration strategy for major media platforms. I’m passionate about solving problems through technology, always keeping the bigger picture in mind, and enjoy projects that combine analysis, creativity, and practical solutions.

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