● Established and operated a music school, growing the business 10x in a 2 year time frame.Collaborated with over 20 teachers and parents to create the ideal private studio environment● Designed and built a 3 room teaching studio. Hired and managed 7 teachers. Interfaced with customers via phone, email and company website. Managed and optimized the business using Excel/Google Sheets● Played music professionally across a wide variety of genres in numerous professional situations, writing and performing music that has been used in 100+ TV shows, movies, commercials and podcasts● Translated key musical concepts to students with a wide range of abilities in individual & group settings, making guitar more accessible and engaging, keeping several students for 10 years or more● Provided the inspiration for 2 educational programs at a previous employer that are still in use today● Served as Accountant/Tax Representative in numerous music projects, contributing guidance that widened reach and led to profitable musical partnerships.

* Movie Data Analysis and Hypothesis Testing-https://github.com/CRPeace/Movie_Data_API_Stats_Analysis-Discovered that movies with MPAA ratings of G, PG, and PG-13 make 3X+ more revenue on average than R Movies-Used API calls to extract and combine data from two different sources. Cleaned the data, processed the data, and generated a MySQL database to cover the entire ETL process-Produced a detailed analysis and crafted data visualizations using Seaborn and Matplotlib-Supported analytical insight from the data using statistical tools/hypothesis testing* Metabolic Syndrome Dataset Analysis and Predictive Modeling-https://github.com/CRPeace/Metabolic_Syndrome_Analysis_ML-Built and calibrated a machine learning predictive model that was able to correctly classify 89% of patients on testing data that could aid healthcare providers in care decisions.-Cleaned and performed an Exploratory Data Analysis using pandas, seaborn and matplotlib, analyzing the conditions that lead to a positive diagnosis of metabolic syndrome.* Grocery Store Sales: Analysis and ML Predictive Modeling-https://github.com/CRPeace/Grocery_Store_Sales_Analysis_ML-Discovered that the top performing location outcompeted other locations with 50% higher total sales-Cleansed the data and analyzed factors that influenced the sales of supermarket/grocery items in select stores belonging to the international chain Big Mart during 2013. -Created data visualizations to communicate insights and built ML pipelines and models to predict future sales