Meticulous Data Scientist with knowledge and experience implementing machine learning techniques like segmentation, classification and time series forecasting for improved statistical analyses. Optimized and innovated current models and solutions to aid objective attainment. Engaged cross-functional teams to achieve data strategy roadmaps
Project: SKU level Demand Forecasting
Project Description: Performed Demand forecasting for multiple SKUs for Whirlpool
· Understanding the business need and problem statemement of the client in inventory management
· Identify seasonality and trend of products at store level, aggregate products and stores into similar clusters and determine overall seasonality and trend
· Perform demand forecasting for multiple SKUs across multiple cities and regions to understand the demand movement, and recommend business to focus on Specific SKUs that generate maximum demand and revenue
Project Name: Prediction of Customer Conversion Rate and Mining of Amazon Reviews
Project Description: To predict the Customer Conversion Rate for Johnson & Johnson
· Built a model to predict customer conversion rate for the client, based on their sales and Amazon reviews
· Executed Driver Analysis by cleaning and preparing the datasets for data pre-processing; performed visualizations, feature selection, and model building in Python for the same
· Performed Text Analytics; mined Amazon reviews through Topic Modelling by doing Latent Dirichlet Allocation along sentiment analyis in understanding the relevance of reviews in driving the overall customer conversion rate
Project Name: Price Comparison Tool for Price optimization for PUMA
Project Description: Building a dashboard for PUMA to compare the price of puma products with other marketplaces
· Building dashboards on KPIs related to price optimization for PUMA with respect to other marketplaces/competitors in PowerBI
· Performed data cleaning, transformations and delivered front end/ backend development of the dashboard with respect to design, layout and dax queries.
· Created tables in Azure SQL and established database models using dataflows
· Successfully converted a POC into a client project