Christina M. Smith
About Christina M. Smith
Christina M. Smith is a Data Scientist with experience in data analysis and modeling, currently employed at Wynn Resorts since 2022. She has a background in mathematics and computer science, having previously worked at eHealth, Inc. and WynnBET, and has developed innovative data-driven solutions in her roles.
Work at Wynn Resorts
Christina M. Smith has been employed at Wynn Resorts as a Data Scientist since 2022. In this role, she applies her expertise in data analysis and modeling to enhance operational efficiency and decision-making processes. Her responsibilities include developing automated solutions and utilizing advanced visualization techniques to present data insights effectively.
Previous Experience in Data Analysis
Prior to her current position, Christina worked at WynnBET as a Senior Data Analyst from 2021 to 2022. She also served as a Business & Data Analyst in the Finance Arm at eHealth, Inc. from 2019 to 2021. In addition, she held the role of Compensation Data Analyst at eHealth, Inc. from 2018 to 2019, where she developed a new compensation model that is still in use today.
Education and Expertise
Christina earned her Associate’s Degree from Austin Community College from 2014 to 2016. She then attended Texas A&M University–Central Texas, where she graduated with a Bachelor of Science in Mathematics with a minor in Computer Science, achieving a 4.0 GPA from 2016 to 2018. Her academic background supports her expertise in machine learning algorithms, statistical models, and predictive analysis.
Technical Skills and Tools
Christina possesses strong skills in advanced SQL, Oracle, MySQL, Snowflake, and Tableau. She is experienced in programming languages and tools such as R Visualization Libraries, HTML & CSS, Python, C++, C#, and Git. Additionally, she is familiar with CRM systems and JIRA ticketing systems, which enhance her data handling capabilities.
Focus on Data Security and Privacy
In her professional roles, Christina emphasizes the importance of confidentiality, security, and privacy policies in data handling. She ensures that data management practices adhere to established standards, thereby maintaining the integrity and trustworthiness of the data she works with.