Akeem Sulaimon
CELL (248) 973-7247•LinkedIn Akeem Sulaimon

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PROFILE A Certified Data Analyst with a robust engineering background, equipped with extensive practical skills gained hands-on experience in various roles. Committed to continuous learning and professional development. Seeking to leverage data analysis expertise and engineering knowledge to drive informed decision-making and optimize business strategies in a professional setting.

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SKILLS Core Competencies:

• Data Analysis: Proficient in data cleaning, exploratory data analysis (EDA), statistical analysis, and data visualization using Python (Pandas, Matplotlib, Seaborn), SQL, and Excel.
• Electrical Engineering: Experienced in designing, testing, and implementing electrical systems, with a focus on motor control, power electronics, and hybrid electric vehicles (HEVs).
• Project Management: Proven ability to manage complex projects from conception to completion, ensuring timely delivery and adherence to budget constraints.
• Problem Solving: Strong analytical and problem-solving skills, with a demonstrated ability to identify and address complex challenges in a data-driven manner.

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EDUCATION
Kettering University – Flint, MI

• Electrical Engineering

MasterSchool Aug. 2023 - Apr. 2024

• Data Analytics
• Statistical Analysis
• Data Validation and Visualization

DataCamp Certification 29 Oct. 2023

• Certified Data Analyst
• New Product Sales Data Analysis Report

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EXPERIENCE Projects Oct. 2016 - Present

HydraFlow Workflow Optimization (Aug. 2025 - Present)

• Designed and implemented a modular workflow system called HydraFlow, facilitating efficient orchestration of complex data tasks.
• Integrated dynamic conversational templates and real-time AI persona creation, enhancing system adaptability and scalability.
• Utilized a custom YAML configuration to streamline backend operations and ensure seamless integration with Vercel-hosted deployments.
• Improved execution efficiency by 25% through optimized API endpoints and dynamic gauge metrics, such as token usage and engine load.

Database Search Engine Development (Jul. 2025 - Present)

• Built a robust database search engine to support querying across large-scale conversation data, with over 50,000 entries.

• Implemented advanced SQL queries and JSON parsing logic for dynamic data retrieval and metadata display.

• Enhanced user experience with features like real-time filtering, tag-based searches, and detailed result visualization.

• Contributed to a 30% increase in data accessibility and productivity through efficient search logic and user-friendly design.
  GloBox Homepage A/B Test Analysis (Apr. 2024)

• Conducted an A/B test to evaluate a homepage redesign featuring a food and drink banner.

• Analyzed data from 24,472 users using Chi-Square tests, yielding a P-Value of 0.00012.

• Observed a 0.71% increase in conversion rates (from 3.92% to 4.63%) with no significant changes in spending behavior.

• Validated results through power analysis to ensure statistical robustness.

  Project Product Sales Analysis (Feb. 2024)

• Analyzed product sales data for a new product line launch, cleaning and validating 15,000 entries across 8 columns.

• Assessed three sales methods (email, call, and email + call) using SQL, identifying the "Email + Call" approach as the most effective for high-value customers (avg. revenue: $183.65).

• Recommended strategies for broader engagement and revenue optimization, improving overall launch effectiveness.