Location : Hyderabad
Experience : 9Year
Last active on : September 15, 2021
Availability : Immediate
Work From : Offsite
Category : Information Technology & Services
● Analyzed banking and M2M (IOT) Data and provide solutions for their current business problems like Defaulter Prediction Modelling, Customer Churn Prediction Modelling, Machine Learning, Customer Segmentation (Clustering) for Target Marketing, RFM Customer life time value estimation and Market Basket Analysis.
● Data extraction, mining, data cleansing, diagnostics, preparation for Modeling.
● Working with large datasets (several Gigs), using contemporary statistical & decision management tools, like SAS E Miner, IBM SPSS Modeler, Knime, Rapid Miner, R and Azure ML Studio etc.
● Experience with multivariate techniques & predictive modeling – cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis.
● Strong background in quantitative & statistical techniques across multiple industry segments.
Experience in building analytical solutions and delivering tangible business value across more than one industry domain (e.g. Banking, Insurance, Energy, Retail CPG, Manufacturing and Healthcare)