Abbreviated Resumé
EDUCATION
University College London, Master of Science in Business Analytics (September 2016)
● Thesis Title: Automated Predictive Process Selection
● Relevant Coursework: Applied Machine Learning, Data Analytics, Graphical Models, Statistical Natural
Language Processing, Supervised Learning
Emory University, Bachelor of Business Administration (June 2012)
● Concentrations: Marketing, Marketing Analytics
● Double Major: Art History
● Graduated with Distinction
● Cumulative GPA: 3.72
WORK EXPERIENCE
DraftKings- Boston, Manager, Analytics (September 2019 - August 2023)
● Led the development of the business performance forecast modeling process in a rapidly growing industry.
● Created definitions of active customers and churn for the company, unlocking a key performance metric.
● Organized and led ongoing readouts for 70 colleagues, unifying understanding of performance.
● Contributed to hiring decisions and oversaw analyst and senior analyst development amongst my reports.
● Worked and taught across an analytical stack including SQL, Tableau, Python, and R.
dentsu X - Atlanta, Manager, Data Science (September 2019 - November 2021)
● Supervised and support six data scientists across 13 clients, including project leadership and development.
● Spearheaded and present the data science value add on pitches, winning the agency new business.
● Developed and productionized a nowcasting system, enabling a 62% growth in YoY client revenue.
● Use time-series forecasting and optimization for cross-tactic media spending plans of up to $67m annually.
● Advance the test and learn process by utilizing Bayesian statistics, including statistical and UI design.
● Establish process for search term categorization utilizing user behavior, saving analysts 75% of task hours.
Featurespace - Atlanta, Data Scientist (January 2018 - August 2019)
● Implemented end-to-end pipelines for real-time fraud detection with complex industry data.
● Employed best-in-class feature engineering and machine learning techniques.
● Successfully guided a pitch project from inception to delivery, winning preferred vendor status.
● Worked directly with clients to scope projects and find suitable success definitions.
● Created, designed, staffed, and led summer data science internship program.
HD Supply - Atlanta, Data Scientist (November 2016 - December 2017)
● Developed models for non-contractual churn analysis based on academic research using Python.
● Authored reports and presentations on the discovery of patterns in the customer base.
● Advised in the design, deployment, and evaluation of A/B testing to optimize campaigns.
● Aligned methodology with business needs in understanding the relationships in product purchase patterns.
Massive Analytic - London, Data Science Intern (March 2016 - September 2016)
● Design and conduct experiments on machine learning algorithm performance across diverse datasets.
● Develop understanding of a diverse body of academic literature to motivate and ground experiments.
● Employ Python and related open-source packages to write an extensive and stable code base.
BBDO - Atlanta, Research Analyst (June 2012 - May 2015)
● Generated and vetted advertising claims by analyzing syndicated data with SAS Analytics and Excel.
● Developed and perfected weekly and monthly reports tracking network performance for AT&T Wireless.
● Optimized high-volume databases to support quick and accurate insight along multiple metrics.
● Planned and executed the development of a relational database for 2 years of historical data.
● Analyzed survey data to provide market intelligence and insights for strategic planning.
● Monitored and verified competitor claims to follow market trends and lay the groundwork for refutation.
● Designed processes and templates to turn survey results into actionable recommendations efficiently.
ADDITIONAL KNOWLEDGE
Programming and Statistical Packages
● Proficient: Java, LaTeX, MATLAB, SQL, Python, SAS Analytics
● Familiar: R, Scala, SPSS