Led the data analysis projects, leveraged ML algorithms and statistical techniques to drive actionable insights and to develop predictive models for churn prediction, disease stage detection, fare price estimation, and competitive price analytics.Built an automated process to extract the price and promotional activities of the different medicines being offered by different pharmacies at competitive medicine selling platforms. Also, these prices being compared with the own prices to understand the price difference and promotion.

Applying Machine Learning techniques on the customer data to help the client in understanding the consumer requirements and to identify the KPIs which helps to improve consumer satisfaction.Through statistical model, Identified the customers who are likely to de-enroll themselves from the existing plan and tried to understand the factors which influence them to do so.Automated the process of data ingestion from different platform via its API and insertion into a MySQL database using Python , required for statistical analysis.

Advance Modelling in Marketing Mix Modelling.Customer Analytics

Delivered an integrated solution beyond statistics, incorporating insights from ad testing reports to diagnose results and offer clear, actionable recommendations to optimize TV assets and other media spend.

• Understanding business issue through client meeting and analyze the Brand Health thought their brand health reports.• Design the framework of the study and the selection of metrics to be taken in the analysis other than Media spend.• Build the Marketing Mix Models and provide insights of media and base contributions to client and further performed deep dive analysis.• Build the Media Response Curve for allocating spends to different media channel.

• Understanding Marketing Mix Modelling and the data require for the analysis.• Perform data quality check like the value assigned to each variable, logical alignment of support and spends for different media channels etc.• Also, Analyzed and understood structure of brand perception through Path analysis using Structural Equation Modelling.