About

James (JD) Lorence is a versatile and experienced Data Scientist/Engineer and Software Engineer with a strong background in data engineering, software engineering, and machine learning. He is currently working as a Data Engineer at techstyle fashion group, where he is responsible for designing and implementing data pipelines, building data models, and developing data-driven solutions to business problems. Prior to his current role, James worked as a Data Engineer at cherre, where he developed and maintained data pipelines, implemented data quality checks, and collaborated with data scientists to build predictive models. He also worked as a Data/Software Engineer at mi9 retail, where he was involved in software and data engineering work, as well as exploring new machine learning opportunities with upper management. James holds a Master's degree in Computer Science from the Georgia Institute of Technology, where he specialized in data science and machine learning. He also holds a Certificate of Proficiency in Full-Stack JavaScript from Code Fellows and a Bachelor of Arts degree in Educational Ministry from Seattle Pacific University. With over 6 years of relevant experience in data engineering, software engineering, data science, research science, and machine learning, James is well-equipped to tackle complex data problems and deliver data-driven solutions. He is proficient in a wide range of technologies, including Python, SQL, Java, JavaScript, and AWS, and is always eager to learn new tools and techniques. James is a highly motivated and detail-oriented professional who takes pride in delivering high-quality work. He is a strong communicator and collaborator who enjoys working in a team environment and is always willing to lend a helping hand. With his expertise in data engineering and software engineering, combined with his passion for machine learning and data science, James is a valuable asset to any organization looking to leverage data to drive business success.