Jake Luu
About Jake Luu
Jake Luu is an Application Support Analyst with a background in Industrial Engineering and a strong foundation in data analysis. He has experience in various roles, including research intern and supply chain analyst intern, and possesses expertise in multiple programming and analytical tools.
Current Role at Loopback Analytics
Jake Luu currently serves as an Application Support Analyst at Loopback Analytics, a position he has held since 2024. In this role, he applies his analytical skills and technical knowledge to support application functionalities and enhance user experiences. His responsibilities include troubleshooting issues, optimizing application performance, and collaborating with cross-functional teams to ensure effective solutions are implemented.
Previous Experience at Universiti Teknologi PETRONAS
Prior to his current role, Jake Luu worked as a Research Intern at Universiti Teknologi PETRONAS in 2022. This internship lasted for three months and took place on-site in Perak, Malaysia. During this time, he gained practical experience in research methodologies and contributed to projects that required analytical skills.
Experience as Math Tutor at Texas A&M University
Jake served as a Math Tutor and Teacher Assistant at Texas A&M University from 2022 to 2023. This position lasted for eight months and involved on-site responsibilities in College Station, Texas. In this role, he supported students in understanding mathematical concepts and provided guidance on problem-solving techniques, enhancing their academic performance.
Educational Background in Industrial Engineering
Jake Luu completed his Bachelor of Engineering in Industrial Engineering with minors in Computer Science and Mathematics at Texas A&M University from 2019 to 2023. His education provided a strong foundation in engineering principles, analytical techniques, and programming skills, preparing him for a career in data analysis and application support.
Technical Skills and Analytical Expertise
Jake possesses a strong foundation in regression and classification analysis, which are essential for data-driven decision-making. He has expertise in various programming and analytical tools, including Python, SQL, R Programming, C++, VBA, DAX, Power BI, Tableau, and Oracle. His ability to merge analytical problem-solving with technical expertise allows him to uncover insights through data effectively.