· Support the analytics team within the marketing operations team through data retrieval, cleaning, descriptive analysis, and modeling.· Work with SAS to provide analysis and insight to marketing acquisition, online marketing, and TV lead generation teams.

· Supported marketing and paid digital groups in marketing mix modeling (MMM) analysis and budget allocation utilizing Robyn and Prophet functions in R.· Created Tableau predictive dashboards with a SQL query and Python code allowing marketing to predict the number of leads and conversions given the advertising channel and total dollar investment.· Created machine learning solutions predicting lead and conversion creation for the marketing department.· Conducted time-series analysis… Show more · Supported marketing and paid digital groups in marketing mix modeling (MMM) analysis and budget allocation utilizing Robyn and Prophet functions in R.· Created Tableau predictive dashboards with a SQL query and Python code allowing marketing to predict the number of leads and conversions given the advertising channel and total dollar investment.· Created machine learning solutions predicting lead and conversion creation for the marketing department.· Conducted time-series analysis using both ARIMA modeling and the Prophet function in R.· Created Tableau customer journey dashboards with SQL query with full Sankey graphs and multi-point filters, allowing marketers to isolate customer bottlenecks and accelerants.· Worked extensively with SQL through Snowflake in order to QA new tables, query data, and test report queries. Show less

· Trained in modelling and machine learning techniques such as linear and logistic regression, and k-means clustering.· Worked with Tensorflow to create convolutional and recurrent neural networks, applying to real-world applications.· Worked with ARIMA modeling and LSTM neural networks to compete with Facebook’s Prophet time series function.· Reviewed hidden Markov chains and models to be applied to modeling the COVID-19 outbreak.· Trained with natural language processing… Show more · Trained in modelling and machine learning techniques such as linear and logistic regression, and k-means clustering.· Worked with Tensorflow to create convolutional and recurrent neural networks, applying to real-world applications.· Worked with ARIMA modeling and LSTM neural networks to compete with Facebook’s Prophet time series function.· Reviewed hidden Markov chains and models to be applied to modeling the COVID-19 outbreak.· Trained with natural language processing techniques to conduct sentiment analysis on Twitter. Show less

· Managed all data analysis, including customer, logistical, and market information.· Used R to clean data, formulate returning customer information not available within the local database, and interpret the analysis for strategic and managerial decisions.· Used linear regression to predict product lifetime, in order to accurately report expiration dates. Used results to analyze the production of the product in order to maximize the product’s lifetime. · Created and maintained new… Show more · Managed all data analysis, including customer, logistical, and market information.· Used R to clean data, formulate returning customer information not available within the local database, and interpret the analysis for strategic and managerial decisions.· Used linear regression to predict product lifetime, in order to accurately report expiration dates. Used results to analyze the production of the product in order to maximize the product’s lifetime. · Created and maintained new reports and metrics to master awareness of the market and advance customer loyalty.· Used time series analysis to predict weekly, monthly and annual sales of specific products and the entire store and to aid in pricing and marketing strategies. Show less

· Built various production and custom models for both nonprofits and businesses in a wide variety of industries.· Built and integrated logistic and linear regression models, balancing various internal requirements of covariance and variable criteria.· Supported the statistics department in larger, less routine projects.

· Used data and analytics while working at both the Center for Regional Development and Center for Institutional Research.· Performed analysis on both local economic data and internal university data regarding retention and performance.· Graded and proctored examinations for multiple Economics and ASOR classes.