Primarily working on the engineering side of data science. Helped create databases that would feed into Tableau dashboards using SQL and Python.Worked on Designing multiple tableau from starch to improve data visualization and communication for multiple departments. Assisted on several statistical and machine learning models for marketing such as churn or prospect probability.

-Created Machine Learning Regression and Classification models to predict charge and payor information on patients.-Used SQL and Python to extract patient value and other financial statistics.-Validated Financial Budget using regression statistics.

• Programmed in Microsoft SSRS and t-SQL to automate Excel projects that benefited the entire department.• Used R to web scrape healthcare provider websites to gain lead information and book of business data.• Created many weekly ad hocs for 8 facilities through R, SQL, Excel to help make better decisions in the market.• Designed quarterly reports for the West Florida Division in Excel and PPT that outperformed our budget.

By using technical analysis in cryptocurrencies, equities, and options, I have outperformed the market. I primarily trade off indicators and oscillators, then use the patterns and trends to buy and sell. Created several trading algorithms using Python or R by using brokerage's API's.

As an analyst, my job provided insight and analysis for the marketing team that helped plan their 2017 Marketing Plan. My responsibilities consisted of cleaning and programming large public and private data sets that created customer flat files, and used R and SQL that exported the project for easy use in Excel. My research supported the company with many metrics that was missing on customer data. Among the other responsibilities, I helped created a product development database, from loosely… Show more As an analyst, my job provided insight and analysis for the marketing team that helped plan their 2017 Marketing Plan. My responsibilities consisted of cleaning and programming large public and private data sets that created customer flat files, and used R and SQL that exported the project for easy use in Excel. My research supported the company with many metrics that was missing on customer data. Among the other responsibilities, I helped created a product development database, from loosely connected files to a centralized database. Show less

The internship included updating agricultural market bottom-up models that assisted the commercial team in forecasting and market prioritizing for several pesticide products. Other tasks involved using programming languages such as R and SQL to identify market trends for the marketing team, in order to help plan the 2017 Marketing Plan.

Learned from Jeffery Won SVP at Morgan Stanley as he informed us about the stock market and finance. I also prepared power point presentations about economic events and designed mock portfolios for clients.