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Yinka-Agbaje/README.md

Hi there, I'm Olayinka Agbaje! 👋

Data Scientist | Python Specialist | Business Intelligence Analyst

I transform complex datasets into strategic business solutions. My portfolio focuses on Data Engineering, Market Intelligence, and Predictive Analytics.

💻 Tech Stack

Python SQL Pandas Git NumPy Scikit-Learn

📊 Visualization & BI Tools

Power BI Tableau Excel Matplotlib Seaborn

⚙️ DevOps & Workflow

Git GitHub Jupyter

🧠 Key Competencies

Regression Clustering Hypothesis Testing Data Auditing Feature Engineering

🛠️ Featured Projects Gallery

Project Domain Tech Stack
🗽 Airbnb-Sector-Integration-Pricing-Audit Real Estate / ETL Data Integration Multi-Format Pricing Audit
🚀 Big Data Optimizer Data Engineering Memory Optimization Scalability Pandas
🏆 Mapping Innovation Time-Series Time-Series Analysis Longitudinal Study
🚨 LA Crime Optimization Public Safety Geospatial Analytics Resource Allocation
🎬 Netflix Nostalgia Audit Media Strategy Market Research Content Strategy
🎓 NYC-Academic-Performance-Audit Public Policy Statistical Variance EDA

LinkedIn Email

📊 GitHub Activity

GitHub Streak

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  1. Airbnb-Sector-Integration-Pricing-Audit Airbnb-Sector-Integration-Pricing-Audit Public

    A sophisticated ETL and Market Research project integrating disparate data formats (CSV, Excel, TSV) to audit the NYC short-term rental market, focusing on pricing volatility and sector growth.

    Jupyter Notebook

  2. Big-data-optimizer Big-data-optimizer Public

    A proof-of-concept for Training Data Ltd. to optimize large-scale customer datasets using advanced pandas type-casting, reducing memory footprint for faster predictive modeling

    Jupyter Notebook

  3. L.A-crime-optimization L.A-crime-optimization Public

    A data-driven audit of Los Angeles crime patterns identifying temporal hotspots, high-risk geographic clusters, and victim demographics to optimize LAPD resource allocation.

    Jupyter Notebook

  4. Mapping-Innovation-trends Mapping-Innovation-trends Public

    End-to-end time-series analysis of the Nobel Prize API dataset (1901-2023) featuring decade-level binning, geographic variance modeling, and gender representation audits

    Jupyter Notebook

  5. Netflix-nostalgia-audit Netflix-nostalgia-audit Public

    A strategic deep-dive into 1990s Netflix movie data to identify content patterns, runtime distributions, and genre-specific pacing for nostalgic-style production research.

    Jupyter Notebook

  6. NYC-Academic-Performance-Audit NYC-Academic-Performance-Audit Public

    Analyzing the performance of schools is important for a variety of stakeholders, including policy and education professionals, researchers, government, and even parents considering which school the…