Hi there! I'm a passionate Data Scientist with a strong background in Machine Learning, Deep Learning, and Data Analysis. I love solving complex problems and turning data into actionable insights. Always eager to learn new technologies and collaborate with others in the community.

• Machine Learning & Deep Learning

  • Machine Learning: Supervised and Unsupervised Learning, Scikit-learn
  • Deep Learning: Neural Networks, Convolutional Neural Networks (CNNs), TensorFlow, Keras

• Data Analysis & Statistical Modeling

  • Data Analysis: Exploratory Data Analysis (EDA), Pandas, NumPy
  • Statistical Modeling: Regression Analysis, Hypothesis Testing, R

• Data Visualization

  • Matplotlib, Seaborn, Tableau

• Database Management

  • SQL Databases (MySQL, PostgreSQL)

• Tools & Technologies

  • Git Version Control, Big Data Technologies (Hadoop, Spark), Cloud Computing (AWS, Azure)

• Soft Skills

  • Problem-solving, Critical Thinking, Communication Skills

A machine learning project to predict CO2 emissions using linear regression, random forest, and gradient boosting algorithms. The project includes data cleaning, exploratory data analysis, feature engineering, and model evaluation.

A machine learning project to predict credit card approvals using logistic regression. The project includes data cleaning, exploratory data analysis, feature engineering, and model evaluation and performance.

A comprehensive data analysis project on the data that made Semmelweis discover the importance of handwashing. Includes data wrangling, EDA, and insightful visualizations using Pandas, and Seaborn.

A comprehensive data analysis project on whether in the past the Prize was very Eurocentric and male-focused or not. Includes data wrangling, EDA, and insightful visualizations using Pandas, numpy, and Seaborn.

A non-comprehensive data analysis project on who has had the most influence on its development and who are the experts of real-world project repository of Scala. Includes data wrangling, EDA, and insightful visualizations using Pandas, and Matplotlib.

A comprehensive data analysis project on deriving insights to devise strategies to drive growth and retention of Android apps by analyzing 10000+ apps in Google Play across different categories. Includes data wrangling, EDA, and insightful visualizations using Pandas, Numpy, Matplotlib, and Plotly.

A non-comprehensive data analysis project on whether movies are becoming shorter and shorter by analyzing 1000+ movies. Includes data wrangling, EDA, and insightful visualizations using Pandas, and Matplotlib.

• LinkedIn: Md. Sadat Amin
• Kaggle: Md. Sadat Amin
• Email: [email protected]

I'm always open to discussing new projects, collaborations, or job opportunities. Feel free to reach out!