Srijit Das

Acting as the key person for handling all the retail analytics and customer analytics solution for Latin American retail giant mainly EXITO COLOMBIA. Responsible for delivery of insights/targeting recommendations for the CPGs and brands across Colombia. Responsible for preparing insights and ML Model for personalized targeting. Working closely with Key Stakeholders- Client Lead, Media director of retail chain and analyst team. Complete ownership of retailers project which includes client management, project management and coming up with ideas to improve effectiveness. Responsible for handling all sort of customer targeting for campaigns followed by evaluating the performance of the campaign. Automated evaluation one pager for generating evaluation reports in PDF through VBA. Responsible for identifying churn rates of customers with a particular CPG. Responsible for implementing long term evaluation for all the campaigns that had ran throughout a fiscal year.

Involves in collecting and filtering sample documents required for model training and performance evaluation. Working on automation of web Scrapping for a particular website application using ML & AI. Set up label the data, clean and process the data to make it ready for ML models. Create the results repository for the outcome of the trained models. Train and test the AI/ML models as and when required. Assist back end developments using python programing. Prepared various ML models using R/Python for the project 'ARTIFICIO'. Worked on web scrapping in python using Scrapy, Beautiful Soup and selenium.

Working with the DEX IN core team and is responsible for identifying key metrics. Responsible for pulling data from amazon redshift data warehouse by querying through SQL. Deployed ML Algorithms like Random Forest, SVM, Logistic regression for customer targeting. ML Model monitoring and improving the model performance. Gained experience in Big Data Hadoop framework by migrating solutions to PySpark. Leveraging NLP text classification over document processing and sentiment analysis of amazon user reviews. Responsible for making visual dashboards using Excel & Tableau for understanding the key metrics in a much more lucid fashion and business insights generation. Working with the delivery experience India team for developing key business metrics and ensuring hassle free customer delivery experience. Worked on churn prediction to find the retention rate of the customers using logistic regression(ML). Identified customer segmentation based on product categories using clustering(ML) technique for better customer targeting. Used apriori algorithm(ML) to find the frequent product bought together for amazon website to target customers. Found uplift sales using OLS regression technique. (ML)

Day to day report generation of Meter Replacement, Meter Shifted, Meter Installation. Visual Dashboarding in Excel for insight generation to increase more profitability and productivity. Data Extraction using SQL to analyze monthly profit scale. Used statistical tools like R/Python for statistical modeling using ML algorithms for understanding the business metrics. Trained and developed ML model for customer churn behavior for introducing Loyalty Program.

Public University. It is a member of the University Alliance, the Northern Consortium and the European University Association.

1 Year fulltime program, Private

MAKAUT(Formerly WBUT)