David Bolatimi

David Bolatimi

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Ohio, United States

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Résumé


Jobs verified_user 0% verified
  • InfoTrack US
    Data Analyst (Internship)
    InfoTrack US
    May 2024 - Aug 2024 (4 months)
    Enhanced SQL queries for court filing data extraction, supporting comprehensive market share analysis and daily reporting efficiency. Streamlined data cleaning and standardization processes using PostgreSQL, S3, and Redshift. Created KPIs and visualizations using AWS Quicksight for comparative analyses of legal tech companies.
  • B
    Marketing Analyst
    Big League Roofers
    May 2023 - Aug 2023 (4 months)
    Used Salesforce and Sales Rabbit to analyze consumer behavior and identify market trends across specific area codes in Lexington, KY. Translated data insights into actionable marketing strategies to target high-potential neighborhoods and optimize lead generation efforts. Supported marketing initiatives for residential and commercial roofing services, helping position Big League Roofers as a trusted local expert in high-quality, durable roof construction across the Lexington region.
  • T
    Data Analyst (Internship)
    Teach Me 2
    Jun 2022 - Sep 2022 (4 months)
    Managed and improved 15+ weekly data models and KPIs for sales dashboards. Utilized Amazon Quicksight to identify operational issues and propose solutions. Refined SQL queries and developed Tableau reports to automate processes. Recommended new reporting solutions based on in-depth data insights.
Education verified_user 0% verified
  • Bowling Green State University
    Master's of Science in Applied Statistics
    Bowling Green State University
    Aug 2023 - May 2025 (1 year 10 months)
    Bowling Green, OH
  • University of Pretoria
    Bachelor's of Science in Actuarial Science
    University of Pretoria
    Feb 2015 - Dec 2020 (5 years 11 months)
    Pretoria, South Africa
Projects (professional or personal) verified_user 0% verified
  • H
    Health Service Research
    Jan 2025 - Nov 2025 (11 months)
    Performed exploratory data analysis on healthcare datasets to identify trends in patient visits using Python and Pandas. Automated tracking of hospital visitation rates per quarter, saving approximately 3 hours weekly. Applied Python's scikit-learn clustering (KMeans and hierarchical) to analyze monthly and quarterly patient visit patterns, improving insight into healthcare utilization trends. Analyzed 2,000+ patient visits annually to quantify attendance trends and identify key drivers of hospital traffic.
  • B
    Barclays Premier League Data
    Apr 2023 - May 2023 (2 months)
    Simulated sports data analytics. Created a function that returns standings for a specified date and season. Supported the current and two most recent seasons.