Fahima Farha Muthuvappa

Fahima Farha Muthuvappa has a diverse work experience. Fahima Farha started their career in 2013 as a Pharmacy Cashier at RITE AID, where they worked for over a year. In 2016, they joined St. Peter's Health Partners as a Patient Care Technician, where they provided care to ER patients and assisted physicians and nurses in minor procedures. In 2018, Fahima worked as a Day Care Teacher's Assistant at Childtime Learning Centers for almost a year. Fahima Farha then interned as a Data Analyst at MedTourEasy in 2020, where they used jupyter notebooks and machine learning tools for analysis. Currently, Fahima works as a Database Marketing Analyst at VSA Prospecting, where their responsibilities include using software to create prospect spreadsheets and managing a prospecting database.

Fahima Farha Muthuvappa has a diverse education background. In 2012, they started their educational journey at Siena College, where they pursued a degree in Biology, although the specific degree obtained is not mentioned. Fahima Farha continued their academic studies at the University at Albany, SUNY from 2014 to 2016, where they obtained a Bachelor's degree in Biology, specializing in General Biology.

To further expand their knowledge and skills, Fahima completed a certificate program in Data Analytics and Visualization at UC Berkeley Extension in 2020. This program likely provided their with valuable insights into the field of data analysis and visualization.

In addition to their formal education, Fahima obtained various certifications related to data science and analytics. These certifications include Advanced SQL for Data Scientists, Apache Spark Essential Training, Microsoft SQL Server 2019 Essential Training, Analyzing Big Data with Hive, MySQL for Advanced Analytics: Tips, Tricks, & Techniques, Learning SQL Programming, Power BI: Dashboards for Beginners, SQL: Data Reporting and Analysis, and Using Power BI with Excel. These certifications indicate their commitment to staying up-to-date with the latest tools and technologies in the data science industry.