• Logistic Regression to identify the churn-rate among the customers in Insurance domain.
• Segmentation of the customers based on their income, policies and premium-paid using K-Means and Hierarchial clustering
• Performed Exploratory Data Analysis, Class Imbalance and Dimensionality Reduction while performing the Machine Learning Algorithm.

• Development of new features as mentioned in the IMLS grant for improving the website.
• Improved the search results of the collections.
• Provide support for existing applications.
• Clean the data and data-analysis.

• Involved in the migration of complex applications like eVerifi and IBES Webservice.

▪ Lead the team in the migration of eVerifi application.

▪ Involved in the risk-analysis, risk-mitigation and design of the login module of the eVerifi application using J2EE maintaining the MVC architecture of the application.

▪ Upgraded the applications like eVerifi and IBES Batch Jobs to Java 6 and Jboss 5.1.1.

▪ Worked with portal-products like Jboss- and Liferay-portals.

▪ Troubleshoot and resolve technical issues during various phases of project life-cycle.

Performed Linear Regression to predict the pricing of gem-stones and to maximize the profits of the company.

Used various ML algorithms like Clustering, Random Forests and Decision Trees to analyze and infer about the customers of the bank. Applied various metrics to validate the performance of the models.

Applied ANOVA (Analysis of Variance), PCA (Principal Component Analysis) on educational sector data to analyze the student retention.