Manoj Chandrasekar

As Data scientist and Marketing analyst in consumer segmentation area, i create predictive and descriptive models to improve the effectiveness of marketing campaigns. -Build supervised and unsupervised machine learning models to better understand the consumers and their interest & intent towards the brand. Help business understand the consumers and serve their need.

-Develop quantitative analysis and design frameworks to help business understand effectiveness of media spend, predict customer behavior and make more informed strategic decisions around marketing, acquisition. -Explore large data-sets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders

Developed a predictive classification model(Supervised Machine learning) to identify consumers for a successful email marketing event in R. Auxiliary functions: -Dashboards to keep track of the health of the models, Usage of the models, Performance of models. -Error handling and automated notification in case of failures.

Built a solution for retail store managers to product assortment and prioritization in their inventory -Association mining technique(Market basket Analysis), for products combination affinity (R) + A intuitive business friendly Tableau dashboard(Tableau server)

• Helped social media analytics team in building a classification model on R for text data. • Social data Crawling & Sentiment- Helped a client in extracting social data with web crawling tool & Built a machine learning model to understand the sentiment of the user comments. • Reviewed and Risk ranked financial spreadsheets for a leading American financial institution.