Luis R. Rivera Jr.
Data Analysis and Visualization Specialist
Based in Texas
About
Data science professional pursuing a B.S. in Data Science and Analytics at Thomas Edison State University, with a strong background in data analytics, healthcare, and military leadership.
Skills
Projects
Experience
2003-Present
Staff Sergeant United States Army (Reserve)
• assigned as an M.L.T. trainer at various laboratory settings for the training of over 30 different military and civilian personnel when it comes to handling patient samples and data • used a Secret Clearance granted by the Department of the Army to train and control patient data for patient, donor, and blood component processing • collaboration efforts led to decreasing turnaround times by 15% in over 4 different medical facilities
2021-2024
Medical Laboratory Technician
• collaborated with over 10 medical laboratory technicians and 4 supervisors in two different laboratories to improve workflow, continuity of laboratory operations, and structure • filled into 4 different sections outside of the core-laboratory realm, to cover down and assist • improved blood banking section procedures by creating 4 different operating procedures testing guides and reducing STAT turnaround times by 10%
Education
2023-2024
Data Analytics and Visualization Professional Certificate
From the University of Texas at Austin: Data analysis tools and techniques, including Python programming, APIs, and statistical analysis libraries like NumPy, Pandas, SciPy, and Matplotlib. Database management and querying using SQL, PostgreSQL, MongoDB, and ETL processes. Machine learning concepts and tools, such as Hadoop and PySpark, enabling you to work with large datasets and perform predictive analytics. Data visualization tools and techniques, including Tableau, HTML, CSS, Bootstrap, JavaScript, and libraries like Leaflet.js, equipping you to create interactive and visually appealing data representations. Proficiency in Microsoft Excel, including advanced features like pivot tables, VBA scripting, statistical modeling, and data manipulation.