Here are some of my personal data science projects
Built a logistic regression model to find most promising leads for an educational company.
Built an clustering model (KMeans & Hierarchical) to find out cluster of countries in dire need of NGO's help.
Built Linear Regression to both predict and understand how different variables affect the number of users.
Focused mainly on identifying & in understanding the driving factors behind loan default. Thus, helping in predicting loan defaulter.
In this project, I tried to find some interesting insights into a few movies released between 1916 and 2016, using Python. I wrote Python code to explore the data, gain insights into the movies, actors, directors, and collections etc