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Hi there, 👋

Welcome to my GitHub profile...Thank you for stopping by.


About Me 💻 📊

👨‍💼 I'm Samuel Shaibu, a seasoned Data Scientist with robust experience in machine learning, deep learning, and data analytics. My journey in data science bridges the gap between theoretical knowledge and practical applications, evident in my diverse projects and professional endeavors.

🎓 Educational Background: I hold a Bachelor of Science degree in Mechanical Engineering from the University of Ibadan. My foray into data science began with my final year project on energy grid optimization using deep machine learning techniques.

🔍 Professional Skills:

  • Languages & Tools: Proficient in Python, Power BI, SQL, and a suite of Python libraries including Pandas, NumPy, Matplotlib.pyplot, Seaborn, Keras, TensorFlow, and more.
  • Areas of Expertise: Data extraction, wrangling, cleaning, transformation, modeling, analysis, and visualization. Profound knowledge in building machine learning and deep learning models.
  • Visualization & Reporting: Skilled in crafting insightful reports and dashboards using Power BI. View my Power BI Projects.

🏆 Certifications:

📈 Current Endeavors:

  • Focusing on personal projects involving data science and AI.
  • Actively seeking collaboration and remote contract opportunities.
  • Developing content related to Data Analysis, Data Science, Artificial Intelligence, and more on Medium.
  • Sharing knowledge and expertise as a Data Science instructor, evident in my various tutorial repositories.

📚 Teaching Experience: As a Data Science instructor, I am passionate about imparting knowledge and have created several tutorial repositories to guide aspiring data scientists and analysts.

Connect With Me 🌐


Samuel Shaibu's Projects

churn_modelling_ann icon churn_modelling_ann

I built an Artificial Neural Network in predicting churn rate in a banking system. Keras, Scikit learn, Pandas, and Numpy libraries were used.

financial_dashboard_modeling icon financial_dashboard_modeling

For this project, I used Power BI in building a financial report. I utilized my knowledge of DAX language in coming up with measures, and M language in transformation of the data in the Power Query Editor.

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine_learning icon machine_learning

This repo basically contain some machine learning model projects I've worked on in the past. From linear regression models, to XG boost, to random forest regression.

prettymapp icon prettymapp

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp

sales-report_power-bi icon sales-report_power-bi

This repository contains the PBIX file, datasets and image of a sales report I worked on using Power BI.

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