Portfolio

This Portfolio is a compilation of all the Data Science, Data Analysis, Machine Learning & Artifical Intelligence projects I have done for academic, self-learning and hobby purposes. This portfolio also contains my achievements, skills, and certificates.

Projects

Customer Survival Analysis and Churn Prediction

In this project I have used survival analysis to study how the likelihood of the customer churn changes over time. I have also implementd a Random Forest model to predict the customer churn and deployed a model using flask webapp on Heroku. App

Instacart Market Basket Analysis

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are also done to study user purchase patterns.

Predictive Maintenance of Aircraft Engine

In this project I have used models such as RNN, LSTM, 1D-CNN to predict the engine failure 50 cycles ahead of its time, and calculated feature importance from them using sensitivity analysis and shap values. Exponential degradation and similarity-based models are also used to calculate its remaining life.

Micro Projects/Learnings