As a Data Science Instructor at Codeup, I had the privilege of empowering aspiring data scientists with the knowledge and skills they need to thrive in the fast-paced world of data analytics and machine learning. In this role, I played a pivotal role in shaping students' futures and guiding them toward becoming successful data science professionals.During my time at Codeup, I developed and delivered comprehensive curriculum modules covering various topics, including statistical analysis, data visualization, predictive modeling, and deep learning. I employed innovative teaching methodologies, blending theoretical concepts with real-world case studies and hands-on projects, fostering a dynamic and engaging learning environment.I took pride in providing individualized support to students, conducting one-on-one mentoring sessions, and offering constructive feedback to enhance their learning experience. By leveraging my strong expertise in data science and industry best practices, I inspired students to think critically, explore creative solutions, and apply their knowledge to solve complex business problems.In addition to my instructional responsibilities, I actively contributed to the continuous improvement of the curriculum by staying abreast of the latest trends and advancements in the data science field. I also collaborated with colleagues to develop new course materials and update existing content to ensure its relevance in an ever-evolving industry.Working as a Data Science Instructor at Codeup allowed me to combine my passion for data science with my desire to make a positive impact on the lives of others. It was a rewarding experience to witness the growth and success of my students as they embarked on their professional journeys in the data science industry.

As a Data Scientist with the City of San Antonio, I leveraged my analytical skills and programming knowledge to support the San Antonio Police Department's operations and strategic planning. Key contributions included:Murder Log Analysis: Utilizing Python, Pandas, and Applied Statistics, I facilitated in-depth statistical analysis of murder incidents during 2020 and 2021. I automated 30+ statistical tests to ascertain the relationships and significance of various demographic, historical, and location-based variables, augmenting our understanding of crime patterns.SAFFE Activity Database: Partnered with the Chief's Technology Team, I created a SQL database for the SAFFE Activity application. This tool enhanced our SAFFE officers' capacity to track and record their community outreach efforts efficiently.Crime Predictive Modelling: Using Time Series Analysis and Regression techniques, I devised models to predict Uniform Crime Reporting (UCR) totals for future years. These projections provided critical insights for proactive department planning and resource allocation.SWAT After-Action Form Scrapper: Employing Python and Beautiful Soup, I innovated a method for extracting data from Microsoft Word documents, thus improving data accuracy and turnaround times. This technique was used extensively for SWAT after-action form analyses.Bexar County Scrapper Project: Using Python, Pandas, and Selenium, I designed a web scraper for efficiently retrieving historical data on criminals from Bexar County court records using minimal personal identification. This tool was pivotal in gathering bond, bail, and probation data for ongoing murder investigations.Through these projects, I have demonstrated a unique blend of technical expertise and a deep understanding of public safety operations, contributing meaningfully to the department's data-driven decision-making process.

Assisted a data science team with projects based around natural language processing, web-scrapping, and image detection. Each project involved multiple forms of data acquisition, preparation, and modeling. Assisted in crafting presentation material for each project.

Analyzed live and past video footage for both written and oral risk assessment reports delivered to all levels of management. Prepared video evidence for loss prevention and legal. Advised on the development of new software to be used within the department.