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Jordan Sundheim
Sports Data Scientist
Professional Background
Jordan Sundheim is a prominent figure in the world of sports analytics, making significant strides one day at a time in leveraging data to enhance performance and strategy. With a commendable professional journey that includes his current position as a Senior Data Scientist at Sportradar US, Jordan has built a reputation for his exceptional analytical skills and innovative approaches to sports data.
Before his role at Sportradar, Jordan contributed his expertise as a Game Analyst Consultant at CHAMPIONSHIP ANALYTICS, INC., where he focused on providing teams with valuable insights drawn from complex datasets. His tenure at Zcruit as a Research Consultant also saw him delve deep into analytics, helping organizations better understand their recruitment strategies.
Jordan's experience spans various analytical roles, including a significant stint as a Data Analyst Consultant at MOCAP Analytics. He not only provided data-driven insights but also developed predictive models to forecast player performance and other critical metrics. Founding Sharp Sports Analytics marked a pivotal moment in his career, where he took on the role of Predictive Modeler, showcasing his entrepreneurial spirit and commitment to advancing the field of sports analytics.
His experiences as a Business Intelligence Analyst at NCSA Athletic Recruiting and a Graduate Assistant Football Coach at Stanford Athletics have equipped him with a well-rounded perspective on both the analytical and operational sides of sports. On top of this, Jordan also contributed to the Federal Deposit Insurance Corporation (FDIC) as a Risk Examiner, where he honed his analytical thinking and risk assessment skills, further enhancing his versatility in data analytics.
Education and Achievements
Jordan's educational background laid a robust foundation for his career in analytics. He completed his Bachelor of Arts in Economics at Davidson College, where he developed a strong understanding of economic theory and statistical methods. This early education played a crucial role in shaping his analytical capabilities and fostering a passion for data-driven decision-making.
Furthering his education, Jordan pursued a Master of Arts in Computational Economics at Duke University. This program not only deepened his understanding of economic modeling but also equipped him with advanced computational skills essential for analyzing complex datasets in the world of sports.
Jordan’s time at Palo Alto High School set the stage for his future educational and professional endeavors. It was here that he cultivated his analytical aptitude and began exploring his interests in sports and economics, fundamentally shaping his career path.
Throughout his career, Jordan has achieved notable milestones such as developing predictive models that have been implemented by professional teams and organizations, significantly impacting their competitive strategy.
Achievements
Among his achievements, Jordan's work in the field of sports analytics is particularly distinguished. He has been instrumental in developing advanced statistical models which have provided teams with invaluable insights into player performance, game strategies, and recruitment processes. His approach combines methodical research with innovative analysis, contributing to the evolving landscape of sports analytics.
Additionally, as the founder of Sharp Sports Analytics, Jordan showcased his leadership skills and passion for applying analytical techniques to the sports industry. Through this venture, he not only provided services to various sports organizations but also mentored aspiring analysts, helping to cultivate the next generation of data scientists in sports.
Jordan’s dedication to the analytics field is evident in his commitment to continuous learning and adaptation in an ever-evolving industry. He actively participates in conferences, workshops, and online forums, sharing his knowledge and learning from others in the field, which further reflects his contribution to the community and the growth of sports analytics as a whole.
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Clay is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
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