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Okes2024/README.md

👋 Hi, I'm Okes Imoni!

🌟 A Passionate Data Scientist and Climate Change at Geosoft Global Innovation Limited🌍

Okes2024 profile views


🚀 About Me


📊 GitHub Stats (auto dark/light)

Stats summary

📆 2024

📆 2025 (to date)

Repositories per language Most-commit language

Commit productive time


💻 Tech Stack

Core Tools

Python MySQL .NET JavaScript Chart.js


🌍 GIS Tools

ArcGIS badge Google Earth Engine badge QGIS badge SAGA GIS badge GRASS GIS badge PostGIS badge (PostgreSQL logo)


🌐 Connect with Me

LinkedIn YouTube


⚡ Fun Extras

  • 🎨 Passionate about data visualization and storytelling
  • 🌍 Exploring geospatial trends with cutting-edge ML/AI tools
  • 🧑‍🔬 Bringing the real world into models—one dataset at a time!

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  1. Bias-Detection-in-Recruitment-Using-ML Bias-Detection-in-Recruitment-Using-ML Public

    This project applies machine learning to detect bias in recruitment decisions, analyzing gender disparities using fairness metrics like Disparate Impact and Statistical Parity Difference, with resu…

    Python 67 16

  2. Air-Quality-Index-Prediction-Using-ML-and-IoT-Sensor-Data Air-Quality-Index-Prediction-Using-ML-and-IoT-Sensor-Data Public

    This project simulates IoT sensor data to predict Air Quality Index (AQI) using machine learning. It generates synthetic datasets, computes AQI, trains multiple models, and provides evaluation metr…

    Python 65 1

  3. Predicting-Depression-from-Social-Media-Activity Predicting-Depression-from-Social-Media-Activity Public

    This project uses synthetic social media data to model and predict depression risk through machine learning. It combines behavioral patterns and text-based features, trains classification models, a…

    Python 64

  4. Predictive-Modeling-for-Training-Effectiveness Predictive-Modeling-for-Training-Effectiveness Public

    This project builds a predictive model to evaluate training effectiveness using employee data, training hours, methods, and performance. It applies machine learning to optimize training strategies …

    Python 54 2

  5. Predicting-Groundwater-Iron-Concentration-from-Borehole-Data Predicting-Groundwater-Iron-Concentration-from-Borehole-Data Public

    This study aimed to model and predict iron concentrations in groundwater within Yenagoa, Bayelsa State, Nigeria, using machine learning techniques. It focused on evaluating spatial variability and …

    69 38

  6. Data-driven-assessment-of-soil-heavy-metal-contamination-Rivers-State-Nigeria-using-multivariate- Data-driven-assessment-of-soil-heavy-metal-contamination-Rivers-State-Nigeria-using-multivariate- Public

    This study leverages data science methodologies to quantitatively assess soil contamination in Joinkrama, Ahoada West LGA, Rivers State, Nigeria. Employing a structured geospatial and statistical p…

    Python 59 1