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Data Settles all arguments
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ireolami/README.md

👨‍💻 Olayele Gbenga Awujoola

Data Analyst | BI Engineer | Machine Learning Engineer

profile views Image Image


🚀 About Me

I build end-to-end data systems that transform raw data into decision-ready intelligence.

  • 4+ years across analytics, ML, and BI
  • Strong focus on production-ready pipelines, not just models
  • Experience spanning IoT systems, business analytics, and predictive modeling
  • Open to remote roles and relocation

🧠 Tech Stack

Languages
Python SQL R

Machine Learning
Scikit-learn XGBoost TensorFlow PyTorch
Random Forest Gradient Boosting

BI & Analytics
Power BI Tableau DAX
Pandas Matplotlib Seaborn

Data Engineering & Automation
REST APIs MQTT Flask
Make.com Zapier n8n Airtable

Databases
MySQL PostgreSQL


📌 Featured Projects

🔹 HR Attrition Prediction Engine

  • Built full ML pipeline (preprocessing → modeling → evaluation)
  • Models: Random Forest, Gradient Boosting, XGBoost
  • Achieved AUC ≈ 0.85
  • Automated reporting system (PDF output)

👉 Impact: Supports proactive HR decision-making


🔹 IoT Water Monitoring System (Lagos State)

  • Real-time telemetry system using MQTT + ThingsBoard + Flask
  • Live dashboards + anomaly alerting
  • Handles sensor data from infrastructure nodes

👉 Impact: Improves infrastructure visibility and response time


🔹 E-Commerce Sales Dashboard

  • Power BI dashboard on 5,000+ transactions
  • RFM segmentation + DAX measures
  • Drill-through reporting across dimensions

👉 Impact: Enables customer segmentation and revenue insights


🔹 Crypto Watcher Automation

  • Built with Make.com + CoinGecko API
  • Telegram & Gmail alerts
  • Airtable + Google Sheets logging

👉 Impact: Fully automated real-time crypto monitoring system


📊 GitHub Stats

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📚 Research

Focus:

  • Machine Learning in Bioinformatics
  • Genomic Variant Analysis

💼 Experience

Data Analyst & BI Engineer — E-Know Consult
Data Science Instructor — SQI College of ICT (150+ students trained)
Academic Role — Abubakar Tatari Ali Polytechnic
Data & Analytics — PIDI Nigeria


🎯 What I Bring

  • End-to-end system thinking (Data → Model → Deployment → Dashboard)
  • Strong blend of analytics + engineering + ML
  • Real-world project execution, not just theoretical work

📫 Contact


Pinned Loading

  1. Automated-Social-Media-Monitoring-and-Client-s-Feedback-App Automated-Social-Media-Monitoring-and-Client-s-Feedback-App Public

    This Project monitors social comments for appraisal, critics and complaints of Customers.

  2. Data-Analysis-Scrapping-and-DB-Management Data-Analysis-Scrapping-and-DB-Management Public

    Data Analysis with different tools

    Jupyter Notebook

  3. Grading-system-with-Switch Grading-system-with-Switch Public

    JavaScript

  4. hr-analysis hr-analysis Public

    This is hr analysis of employee attrition

    Jupyter Notebook

  5. Machine-Learning-with-Scikit-Learn Machine-Learning-with-Scikit-Learn Public

    Regression Analysis that contains linear regression and Multivariable Regression

    Jupyter Notebook

  6. Casual-Inference-Experimental-Analysis- Casual-Inference-Experimental-Analysis- Public

    Casual Inference

    Jupyter Notebook