Gaurang Portfolio
About me- I am a Data and Analytics professional looking to solve business problems using statistics, Machine Learning and data centric approaches with 6+ years of pricing and strategic intiatives experience. This page is a set of the blog articles I have written as case studies which address common business problems such as forecasting time series, simulating uncertainity with various scenarios and using clustering approaches to segmentation.
Time Series Forecasting
- Time Series Forecasting Holt Winters and Moving Averages
- Time Series with Seasonality and Trend (ARIMA Models)
Statistics
- Hypotheis Testing and Confidence Intervals using Python
- Modelling Uncertainity-: Monte Carlo simulations using excel and Python
- Managing Attrition-: An introduction to survival Analysis
Machine Learning
- Segmentation using RFM framework (Kmeans Clustering)
- Finding the most impactful features in a dataset using Mutual Information Regression criterion
- Dimension Reduction using Principal Component Analysis
- Introduction to Tree based models
- Managing Attrition-: Paramteric Survival Models