Oluwasegun Raphael

About Me

I am a Data Analyst with hands-on experience across public health, education, agricultural research, and business operations. I specialize in programming, data cleaning, machine learning, and building dynamic dashboards that transform raw data into actionable insights. What sets me apart is my ability to simplify complex information and apply it to real-world problems, from uncovering cost-saving opportunities, improving marketing strategies to predicting future trends and enhancing operational performance. I am passionate about helping organizations make smarter, data-driven decisions. I thrive in collaborative environments and enjoy translating data into clear, actionable direction that drives measurable impact.

  • Programming & Analysis
    Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow), SQL (SQL Server, MySQL, SQLite)
  • Visualization & Reporting
    Tableau, Power BI, Excel, PowerPoint, Google Sheets
  • Tools
    GitHub, Git, Jupyter Notebook, VS Code, PyCharm
  • Soft Skills
    Stakeholder Communication, Business Insight Generation, Data Cleaning & EDA, Data Storytelling
  • Data Analyst
    National Agricultural Seeds Council (NASC)
  • Data Training & Technology Administrator
    Society for Family Health (SFH)
  • Data Quality Assessor
    Achieve, Pact
  • B.Tech (Marketing) - Ladoke Akintola University of Technology
  • Data Science - ALX Africa
  • Python for Data Science - IBM

Projects

Targeted Discount A/B Testing Analysis

Performed end-to-end A/B testing and financial impact analysis to recommend a targeted discount strategy for reducing customer churn..

Agricultural Performance & Climate Impact

Modeled climate impact on agriculture to deliver actionable insights and improve farm productivity.

SuperStore Analysis

Analyzed sales data to uncover revenue drivers and optimize business decisions.

Student Mental Health Analytics Dashboard

Analyzed student mental health data to identify trends in depression, sleep, academic pressure, and financial stress using SQL Server and Tableau.

Insurance Claims Risk & Customer Analytics

analyzed insurance claims and customer risk patterns to identify fraud indicators, claim severity drivers, and profitability trends.

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Contact Me

ralpholuwashegun@gmail.com

+234 704 471 1492

Download CV