Attentive to visualization details and a strong critical thinker evident in improving documentation and reporting. Completed a 24-week certificate program in Data Analytics and Visualization. Recently led and coordinated a project in a team of five using PgAdmin, Heroku, Python, Google slides, Jupyter Notebook, and Tableau for visualization. Great project management skills by working concurrently on VBA projects, Excel dashboards, creating brochures, and completing quarterly reports. A problem solver as shown in my initiative to create a system to document and analyze daily calls. I have viewed data from a program’s perspective for 15 years in education, government, and the nonprofit sector and I understand the importance of utilizing data to document and solve a problem, visualize results, and highlight opportunities for improvements. I am pursuing a career in data analytics to leverage my technical and project management skills as well as attention to detail to help your business view data from a program’s perspective to support detailed and efficient analysis and visualization.
Excel, VBA, Python, SQL, Jupyter Notebook, PostgreSQL, Visual Studio Code, Git, JavaScript, HTML, Tableau, and R.
For this analysis, I was the team leader and we used data of video game sales from North America and Japan to see if a Linear Regression Model would predict if European sales would be greater than 75% (threshold). The data was explored, and we kept platform, genre, and sales from North America, Japan, and Europe. Three databases were created in PgAdmin and stored in Heroku, a cloud-based storage system. The databases were combined using Python coding which was then pushed into a Machine Learning Model called Linear Regression resulting with an 88% accuracy showing that 75% or above sales were successful in Europe; thus concluding that launching a video game in Europe could be successful.
Project InformationI used SQL queries to create a database to determine the number of retiring employees as well as identify employees who are eligible to participate in a mentorship program.
Project InformationFor this analysis, I replaced the math and reading scores of Thomas High School ninth graders with Not a Number also known as NaN using Jupyter Notebook.
Project InformationFor this analysis, I used a SQL database to determine the number of retiring employees as well as identify employees who are eligible to participate in a mentorship program.
Project InformationFor this analysis, I used R to predict the mpg of MechaCar prototypes, collect summary statistics on the pounds per square inch(PSI) of the suspension coils, and determine if the manufacturing lots are statistically different from the mean population.
Project Information