Apziva provides a unique platform for individuals to work on challenging projects and gain experience under the guidance of industry expert mentors.• Built a machine learning model to improve customer satisfaction at a logistics and delivery company.• Developed classification models to increase the success rates of marketing campaigns for a European bank.• Identified best job applicants for a talent sourcing company using natural language processing.

Rigorous training in machine learning with R and Python. Completed research projects involving advanced data science methods and strategies.• Developed regression models to predict high accuracy real estate prices.• Built classification models to predict customer churn at a telecommunications company.• Segmented the Iowa liquor store market utilizing the K-means clustering algorithm and combined those segments with Census data to recommend locations to open a new liquor store targeting upper income millennials.• Scraped and analyzed data on petfinder.com and suggested actions that rescue groups and shelters could take to better “market” their cats and improve adoption rates.

Used predictive modeling and data analysis to help Advance Local Media Groups increase multi-million-dollar advertising revenue in news websites and publications. Provided analysis and reporting services to external clients such as retailers and universities.• Retained $12M client by developing interactive dashboards in Tableau that helped marketers monitor digital advertising campaigns. • Built logistic regression models using both internal and Acxiom data which resulted in reduced subscriber attrition rates.• Enabled retailers to better target customers by creating profiles and data visualizations, delivering information for effective client decision making. • Helped journalists track political trends by creating interactive dashboards of surveys using Tableau. • Analyzed advertising accounts, using Dun & Bradstreet data so that similar businesses could be identified and targeted more efficiently. • Increased college and university alumni engagement for external client through profiling

Worked on marketing team of nonprofit animal welfare organization. • Improved efficiency of fundraising process and increased donations by building predictive models using both linear and logistic regression.• Drove marketing initiatives as subject matter expert (SME) in advanced analytics.• Defined business needs and outlined custom projects by consulting with internal clients.• Tracked donor performance by creating managerial reports that included model metrics.• Recommended modeling strategy to transform medium donors into high-dollar contributors.

• Assisted in teaching courses for certificate program in data mining.• Taught SAS programming logistic regression, linear regression, and cluster analysis.

Provided modeling and reporting services to direct marketer of books and other products. • Developed customer reactivation and cross sell models using logistic regression which maximized profitability.• Created reports for fraud detection which were later productionalized.• Established email marketing tests and reported key metrics.• Worked with multiple data sources including web logs and business performance marketing databases• Trained other analysts in SAS programming.