Data Science Portfolio

Repository of data science projects showcasing my ability to work with different data-types. All projects are presented in the form of Jupyter notebooks.

Note:

Data used in the projects is for demonstration purposes only as some of it is awaiting publication. As such it has been anonymised and is unavailable for download.

Projects:

Axon Initial Segment:

• Exploratory Data Analysis of Large Scale Float Data
• Jupyter Notebook Reports
• Data Visualisation
• Linear Mixed Effects Modelling
• Ordinary Least Squares Model with Type III ANOVAs

Tools: Pandas, Numpy, Seaborn, Matplotlib, Statsmodels, SPSS, SciPY, scikit-learn

Electrophysiological Properties of Cells:

• Supervised Machine Learning with Logisitic Regression and Random Forrest Classifiers
• Unsupervised Machine Learning with KMeans and Hierarchical Clustering
• Dimensionality Reduction with Principal Component Analysis

Tools: scikit-learn, Scipy, Pandas, Seaborn, Matplotlib

Bake-Off:

• Exploratory Data Analysis
• String Data Manipulation
• Jupyter Notebook Reports

Tools: Pandas, Numpy, Seaborn, Matplotlib

If want to have a chat about the portfolio, work opportunities, or collaborations, email me @ shinjinibasu92@gmail.com