Data Analyst with training in Intermediate Excel, Python programming, JavaScript, HTML/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, Git/GitHub, amongst other programs. Proven ability to understand presented requirements and translate into actionable project plans. Dedicated and hard-working with passion for innovation and making data more comprehensible to the target audience. Background as a highly-dedicated Physical Therapy Aide with in-depth knowledge of various medical conditions, including musculoskeletal, sports-related and heart conditions. Expertise in suggesting proper physical therapy routines to patients between ages of 14 and 92. Responsive and reliable professional with 3 years of experience in caring for patients.
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A rigorous and fast-paced program, focused on the practical technical skills needed to solve data
problems. Throughout the course, gained proficiencies on numerous marketable technologies,
including Excel, Python, JavaScript, SQL Databases, and Tableau amongst others.
Graduated with Honors (Cum Laude) and a 3.74 GPA, while consistently earning spots on the President and Dean’s Lists. Participated in undergraduate research for 2 years to earn a medal for investigating predictive kinematics of a softball swing, which was also presented at the Mayo Clinic in the summer of 2018 (QUANTIFICATION OF SOFTBALL SWING PATTERNS AND RELATIONSHIPS TO SWING KINEMATICS FOR NCAA DIVIDION I SOFTBALL HITTERS, Lund et al). Coursework for B.S. in Exercise Science included Human Anatomy and Physiology, Exercise Physiology, Measurement and Evaluation of Exercise and Sports Science, Older Population Fitness, and Physiology of Aging, amongst others.
Graduated with a 3.8 GPA, while a member of the Phi Theta Kappa Honor Society and making the Dean's List every term. Played softball and was chosen to be a member of the student advisory board for student athletics. Coursework included Biology for Allied Health and Statistics.
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