Bhaskar Reddy

Building a recommendation engine for an alcoholic industry that helps in increasing the product awareness and revenue.

Implemented web based pricing simulator for Manufacturing Company which helps in estimating the profit by varying the price. Pyspark is used for data processing and modelling datasets creation. Build an Pooled model to estimate the price elasticity for each promotional groups. Build an automated pipeline in azure environment for data processing and model refresh.

Developed an excel based predictive planner tool that provides a promotion calendar by optimizing the profit for both foods manufacturing company and retailers. Developed a regression model to estimate sales. Automation of data processing and model refresh is done using azure datafactory and azure data bricks. Deployment of the models into production server is done using Azure Dev-ops. Built a visualization-based tool for a pet food manufacturing company using Power Bi which helps define the trade investment based off retailer performance. Developed a full-suite Marketing Mix Modelling solution for a retailer which sells wine, spirits and beer. Quantification of the impact of advertising and promotions on sales. ROI measurement for each advertising and promotional activity to optimize marketing spend.

Built a excel based framework for retailer which helps in generating weekly reports of sales. The excel workbook is connected to Google Cloud Platform (GCP) which has the transaction data. Developed regression models for attribution taking the business inputs into account to attribute the leads to each marketing channel accurately. Computed ROI from individual marketing channels and helped prioritizing the marketing spend. Developed a segmentation model for doctors based on the survey designed by a pharma market research client. This enabled the client to provide recommendation for outreach programs. Developed a driver analysis framework to identify the success of a campaign for a pharma market research client. Used a regression model framework to assign weights to each independent variable.

Developed a statistical framework to analyze the trends in the marketshare of various drugs with respect to their corresponding marketing campaigns for a pharma market research client. Created perceptual maps to visualize effectiveness of drugs with respect to competition based on its association with the following attributes: efficacy, safety/tolerability, expensiveness, and ease of use.