Developing and maintaining recommendation model engines driving digital activity on online platforms. Responsible for building targeting audience machine learning models. Built and maintain Customers’ Digital Behavior Table and create profile reports. (+10 billion records)Help manage data vendors for offline membership campaigns.

• Formulated trademark feature using historical data to increase recall value of a predictive model by 6%.• Single handedly spearheaded data science projects for a client that generated thousands of dollars in incremental revenue for the company.• Collaborated with project manager to conduct hypothesis testing that enhanced client’s marketing campaigns.• Demonstrated strategic skills by delivering actionable insights to stakeholders utilizing visualizations and reporting.• Built predictive models using multiple Machine Learning tools to predict chances of successful enrollment process.

• Devised niche marketing campaigns by analyzing consumer data and product sales using time series analysis that increased product sales by 10%.• Conducted statistical analysis for finding correlating attributes with the target goal to find hidden sales patterns.• Examined sale patterns for multiple products using regression model to devise sales strategies for each shop.

• Surveyed historical incident data to help product manager identify high-risk work hours at an offshore facility using prophet model.• Identified procedural areas of improvement by performing text analysis of incident reports and creating network graphs to help increase the safety standards of offshore facilities by 5%.

• Constructed risk analysis report for classifying business’ projects that included “at-risk” applications and/or servers. • Managed SQL Server database: Handled performance tuning and implemented recovery procedures for a portal.• Captured network components and tested storage strategies with a disaster-recovery plan for a new version release.