Performed data analysis using pandas, python & SQL to extract business insights related to email activity

Worked with Marketing & Consumer Analytics teams to explore how email cadence, email content, & consumer demographics influence email activity, visualized findings using matplotlib & seaborn

Built a Logistic Regression Model & tuned features to predict consumer email activity with >88% accuracy

Used model findings to propose new email campaign strategy that is catered to individual consumer needs & increases overall email open rate from 4.3% to 5.4%

Researched best practices to create several templates and strategies for acquiring sponsorships

Tested and proposed social media management tools and task management software that best fit the company’s needs and budget