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.
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Machine Learning & Deep Learning
- Machine Learning: Supervised and Unsupervised Learning, Scikit-learn
- Deep Learning: Neural Networks, Convolutional Neural Networks (CNNs), TensorFlow, Keras
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Data Analysis & Statistical Modeling
- Data Analysis: Exploratory Data Analysis (EDA), Pandas, NumPy
- Statistical Modeling: Regression Analysis, Hypothesis Testing, R
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Data Visualization
- Matplotlib, Seaborn, Tableau
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Database Management
- SQL Databases (MySQL, PostgreSQL)
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Tools & Technologies
- Git Version Control, Big Data Technologies (Hadoop, Spark), Cloud Computing (AWS, Azure)
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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!