As a freelance data scientist, I have over 4 years of experience helping businesses of all sizes make better decisions with data. I have a proven track record of success in developing and implementing data science solutions to solve real-world problems.

I specialize in the following data science tasks:

• Data cleaning and preparation: I can help you to clean and prepare your data for analysis, making sure that it is in a format that is compatible with your data science tools and models.
• Data exploration and visualization: I can help you to explore and visualize your data so that you can identify patterns and trends that would be difficult to see with the naked eye.
• Machine learning: I can help you to develop and train machine learning models to predict outcomes or classify data.
• Statistical analysis: I can help you to perform statistical analysis on your data to identify relationships between variables and to test hypotheses.

I am also proficient in a variety of data science tools and programming languages, including Python, and SQL.

Why hire me?

• I have a deep understanding of data science principles and techniques.
• I am proficient in a variety of data science tools and programming languages.
• I have a proven track record of success in developing and implementing data science solutions to solve real-world problems.
• I am committed to delivering high-quality solutions that meet my clients' specific needs.

Tools:

• NumPy: NumPy is a fundamental Python library for scientific computing. It provides a variety of data structures and functions for working with numerical data.
• SciPy: SciPy is a Python library for scientific and technical computing. It provides a variety of functions for tasks such as signal processing, image processing, and optimization.
• Pandas: Pandas is a Python library for data analysis. It provides a variety of data structures and functions for working with tabular data.
• Matplotlib: Matplotlib is a Python library for data visualization. It provides a variety of functions for creating charts and graphs.
• Scikit-learn: Scikit-learn is a Python library for machine learning. It provides a variety of algorithms for tasks such as classification, regression, and clustering.
• PyTorch: PyTorch is a Python library for deep learning. It provides a variety of tools and functions for developing and training deep learning models.
• TensorFlow: TensorFlow is another popular Python library for deep learning. It provides a variety of tools and functions for developing and training deep learning models.