Dinesh Shriram

Master's

Business Analytics

Merkle Inc

Data scientist

• Utilized statistical techniques such as regression, cluster analysis and ANOVA to drive analysis of data ▪ Partnered with business users to identify KPI’s and build marketing report using SQL and Tableau ▪ Extracted and processed large quantities of marketing data from data warehouses and data marts ▪ Built model dataset by leveraging historical promotion and third-party data ▪ Applied data mining techniques to track and evaluate customer acquisition efforts and behavior ▪ Managed and mentored junior analyst and contributed to their technical and career development ▪ Developed next best product offer model to increase profitability by 500K over a year ▪ Presentedrecommendations,insightsandopportunitiesonmarketingcampaigns ▪ Developed predictive models using logistic regression in R marketing campaigns, increasing revenue by $1.2MM ▪ Profiled customers on multiple dimensions like age, purchase behavior, net worth, and home value which facilitated changes in marketing strategy ▪ Estimated sample size for A/B testing of creatives for marketing, and statistically compared the performance ▪ Consolidated, cleansed and transformed data to prepare reports and monitoring systems in Redshift