Welcome to my GitHub profile! I'm a passionate Data Scientist with a strong focus on building reliable machine learning models, applying deep neural networks (DNNs) for classification and regression tasks, and utilizing SQL for efficient database management.

• Bachelor in Technology (B.Tech) Computer Science from Abubakar Tafawa Balewa University (A.T.B.U) Bauchi, Bauchi State, Nigeria
• Specialized courses in Data Analytics, Data Science, Machine Learning, and Deep Learning

• I specialize in crafting machine-learning solutions to extract valuable insights from data.
• My expertise lies in developing predictive models and leveraging advanced deep-learning techniques to solve complex problems.
• I have a solid background in SQL for database management, query optimization, and working with relational databases.
• I thrive in projects involving structured data analysis, creating robust pipelines for regression and classification tasks.

• Machine Learning: Supervised and unsupervised models (Decision Trees, Kmeans, DBScn, Random Forests, Gradient Boosting, and ensemble methods).
• Deep Learning: Designing and training DNNs for classification and regression.
• App Development: Building apps with Python using Tkinter, CustomTkinter, and Streamlit.
• SQL & Databases: Proficient in PostgreSQL, MySQL, and SQLite for database management and query optimization.
• Data Visualisation and Analysis: Tableau, Google Analytics, Google Looker

• Programming: Python, pandas, NumPy, scikit-learn, TensorFlow, Keras, imblearn, OpenCV
• Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Google Analytics, Google Looker
• Development Tools: VSCode, Google Colab
• Version Control: Git, GitHub

I am continually improving my skills in deep learning architectures and exploring new approaches for model optimization and performance enhancement.

• Data Science: Solving real-world problems through data-driven insights.
• Deep Learning: Expanding my understanding of advanced neural networks.
• Regression and Classification: Building models to effectively predict outcomes and categorize data.

Available at: RESUME

• Via E-mail @ [email protected]
• Phone Number +234-703-144-815-6, +234-703-469-344-1
• Via LinkedIn.