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FatihaOkesola/README.md

Hi, I'm Fatiha Okesola 👋

I'm a Master's student in Business Analytics at California State University, East Bay, building toward a career at the intersection of finance and data analytics.

I'm currently a CFA Level II Candidate, which shapes how I think about the projects I build — I'm not just practising tools, I'm practising the kind of thinking those roles require.


Projects

Superstore Sales Dataset

  • Python → Profitability diagnostic & scenario analysis
  • Streamlit → Interactive dashboard for non-technical users
  • Excel → Sales storytelling with pivot tables and slicers
  • SQL → Structured querying & business analysis

Credit Card Fraud Detection 🔄

  • SQL → Database design & fraud signal analysis (in progress)
  • Python → Exploratory data analysis (coming)
  • ML → Fraud classification model (coming)

Tools & Skills

Currently using: Python · Pandas · Matplotlib · Streamlit · Excel · PostgreSQL · SQL

In progress: Power BI · Tableau · scikit-learn · Machine Learning


What I'm Building Toward

Finance-focused analytics roles where data informs real business decisions. Target areas include FP&A, revenue analytics, financial data analysis, strategic finance, and supply chain finance — industries spanning fintech, payments, manufacturing, and retail.


Connect With Me

LinkedIn

Pinned Loading

  1. superstore_sales_diagnostic superstore_sales_diagnostic Public

    Structured diagnostic analysis of Superstore sales data identifying margin erosion drivers and modeling pricing intervention impact.

    Jupyter Notebook

  2. superstore_streamlit_app superstore_streamlit_app Public

    Interactive Streamlit app for exploring profitability drivers in the Superstore dataset through a guided diagnostic workflow..

    Python

  3. superstore_sales_excel_project superstore_sales_excel_project Public

    Excel-based sales analysis and storytelling using the Superstore dataset