● Prepared the model data and built various Supervised and Unsupervised Learning Models using Python.● Worked on model building using Machine Learning algorithms like Linear Regression for Predictive modelling and Logistic Regression, SVM and Decision Trees for Classification purpose.● Developed REST APIs in Python and MariaDB, providing backend capabilities to interface with OpenStack and other downstream APIs● Used different algorithms such as SVM for classification that provided useful business insights.● Designing automated dashboards and data visualization to extract relevant and targeting market insights data classification using Seaborn in python and Tableau as well.● Migrated risk-trend dashboards with 30+ Control Charts from MS Excel to Tableau resulting in 40% time savings for the security team.

To understand customer behavior and the triggering factors affecting consumer behavior. Use predictive analytics to analyze the most profitable customers and how they interact. Take targeted actions to increase profitable customer response, retention and growth.