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  • Lagos, Nigeria.

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Owadd/README.md

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Oluwatobi Owadokun

Analytics Engineer • Machine Learning Engineer

What Do I Build?

I craft data pipelines, machine learning systems, and automated workflows that transform raw information into actionable intelligence — instantly, reliably, and elegantly

I create systems that automate financial and business operations, predict outcomes with machine learning, visualize insights clearly, and deliver real-time intelligence directly to those who need it

Here are my Tools and Libraries

python javascript mysql pandas numpy scikit-learn XG Boost tensorflow selenium beautifulsoup requests powerbi streamlit plotly

📁Featured Projects

1. Credit Risk Assessment

Predictive model that evaluates loan default probability using XGBoost and engineered features.
View Project

2. Customer Churn Project

Analyzes customer behavior to predict churn using machine learning models and feature engineering.
View Project

3. NGX Stock Market Analysis

Data collection, cleaning, and visualization for Nigeria’s stock market; includes dashboards and trend analysis.
View Project

4. Sentiment Analysis Project

Analyzes social media sentiment for cryptocurrencies using NLP and machine learning.
View Project

5. Automated Financial News Alerts Bot

Scalable Telegram bot that ingests, processes, and distributes structured financial & news data in real time. Optimized pipelines for fast, reliable delivery.

What am I Currently Working On?

  • Improving automation and scalability of financial pipelines
  • Real-time dashboards for stock market and macroeconomic data
  • ML models for predictive insights on customer behavior

📬Contact

📧 owadokunoluwatobi@gmail.com
🔗 GitHub: https://github.com/Owadd

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  1. Credit-Risk-Assessment Credit-Risk-Assessment Public

    This project aims to predict credit risk for individuals applying for loans, classifying whether they will default based on features such as age, income, employment length, loan amount, interest ra…

    Python 3 1

  2. Customer-Churn-Project Customer-Churn-Project Public

    Developed a model to predict customer churn for subscription-based businesses.

    Python 1

  3. NGX-Stock-Market-Analysis NGX-Stock-Market-Analysis Public

    This project breaks down Nigeria’s stock market movements—who’s leading, who’s falling behind, and which sectors are shifting. Backed by clean data, sharp analysis, and a dynamic Power BI dashboard…

    1

  4. Sentiment-Analysis-Project Sentiment-Analysis-Project Public

    This Python project analyzes public sentiment on social media (like Twitter) towards cryptocurrencies and it leverages Support Vector Machines (SVM) for sentiment classification.

    Python 1