Drew Kaplan Email & Phone Number

Atlanta, GA, US

We are MERU. A firm with a different point of view.We are results-driven operators at heart. We bring deep experience partnering with clients to improve performance in some of the most challenging situations. We are united by a culture that values excellence, collaboration, and success in all its forms for our clients and our people.

Hoboken, New Jersey, US

Hoboken, New Jersey, US

San Francisco, CA, US

• Established an analytics center of excellence, growing the team from inception to two direct reports and the indirect management of seven employees in various departments. Led analytics operations across the entire.
• Revamped data infrastructure by writing custom Python scripts run on AWS to automate the daily extraction of 14GB of data from 12 data sources. Accelerated analytics across the company integrating these disparate data.
• Collaborated with our executive leadership and Finance to define the key metrics they reported to our board, led the ongoing measurement of those KPIs, and conducted monthly reviews with each leader to drive business.
• Built customized Go-to-Market dashboards for Finance, Sales, Marketing, and Customer Success which supported decision making from the C-Suite to individual contributors. 70% of our 600+ employees were active monthly.

San Francisco, CA, US

• Built customized Go-to-Market dashboards for Finance, Sales, Marketing, and Customer Success which supported decision making from the C-Suite to individual contributors.
• Developed a machine learning model in R to predict likelihood for sales opportunities to be won in the current quarter. The predictions were a crucial part of upgrading the sales forecasting methodology used by senior.

Atlanta, GA, US

• Managed a team of four direct employees that held data engineering and data science responsibilities.
• Led the transfer of my team’s work from an on-prem, Hadoop infrastructure to both Google Cloud and Azure.
• Developed a predictive model in PySpark to identify customers with high growth potential or risk of churn. Improved expected revenue growth 6% for these customers by working with sales to treat them with incentives via.
• Led the technical deployment of a predictive model that identified causes of customer dissatisfaction. Developed a data model that included predictions and supplemental data fed into SSAS and a PowerBI dashboard. The.

Atlanta, GA, US

• Developed a predictive model in Python to forecast how often customers with scarce history would ship different types of packages. The model powered multiple marketing campaigns that successfully increased shipping.
• Constructed a data model in Hadoop and a dashboard in Power BI for a marketing segment team to measure their overall segment performance and visualize revenue trends across their more than three million active customers.
• Created a statistical framework in R based on hypothesis testing to determine if global sponsorships had an impact on revenue growth. The experiment design helped decision making about sponsorship deals, including the.

US

Sold $1M+ in luxury suite rentals to a variety of events held at the Georgia Dome

US

Bachelor’S Degree, Business And Enterprise Managment

Master’S Degree, Customer Analytics

Education record