Shezal Padani
About Shezal Padani
Shezal Padani is a Senior Data Analyst at Buoy Health, where she has worked since 2020. With a strong background in data analytics and business intelligence, she has held various analytical roles in healthcare and academia.
Current Role at Buoy Health
Shezal Padani serves as a Senior Data Analyst at Buoy Health, a position held since 2020. In this role, she focuses on enhancing data-driven decision-making processes by collaborating with cross-functional teams. Her responsibilities include establishing key metrics and conducting analyses that support business decisions. Shezal's work is characterized by opportunities for creativity and innovative thinking.
Previous Experience at Buoy Health
Prior to her current role, Shezal Padani worked as a Data Analyst at Buoy Health for five months in 2020. During this time, she contributed to various data analysis projects, laying the groundwork for her advancement to a senior position. Her experience at Buoy Health has been integral to her professional development in the field of data analytics.
Education and Qualifications
Shezal Padani holds a Master's degree in Applied Data Analytics from Boston University, where she achieved a GPA of 3.93 from 2019 to 2021. She also studied at Northeastern University, earning a Certificate in Data Analytics and a Bachelor of Science in Behavioral Neuroscience. Her educational background equips her with a strong foundation in data analysis and related fields.
Professional Background
Shezal Padani has a diverse professional background in data analysis and business intelligence. She previously worked at Brigham and Women's Hospital as a Data Analyst from 2018 to 2020, and at Beth Israel Deaconess Medical Center as a Research Analyst from 2016 to 2018. Additionally, she gained experience as a Data Scientist at MIT Sloan School of Management and as a Business Development Intern at BlueTheory Clinical Trials.
Technical Skills and Expertise
Shezal Padani possesses expertise in various technical skills essential for data analysis. She is proficient in R, Tableau, SQL, Python, and Data Visualization. Her ability to establish key metrics and conduct comprehensive analyses supports her role in driving business decisions and enhancing operational efficiency.