Safa Salih
About Safa Salih
Safa Salih is a Data Scientist currently employed at US Foods, where she applies her expertise in data analytics and visualization. She holds a Bachelor's degree in Computer Science and two Master's degrees, one in Data Science and another in E-Business, and has extensive experience in various roles within international organizations.
Current Role at US Foods
Safa Salih currently serves as a Data Scientist at US Foods, a position held since 2023. Working remotely, Salih applies expertise in data analytics to support the company's strategic objectives. The role involves translating complex quantitative data into actionable insights, which aids in decision-making processes across various departments.
Professional Experience
Prior to joining US Foods, Salih held several positions that contributed to her expertise in data science and analytics. She worked at Sabbatical from 2015 to 2018, during which she was on leave. Before that, she served as an Instructor at Jesuit Refugee Service from 2009 to 2011 in Amman, Jordan. Salih also gained experience at the United Nations Economic and Social Commission for Western Asia (ESCWA) as an Administrative Assistant from 2012 to 2015, and at UNESCO in a similar role from 2011 to 2012.
Education and Expertise
Safa Salih holds a Bachelor's degree in Computer Science from AAFBFs, completed from 2004 to 2008. She furthered her education with two Master's degrees: one in E-Business from Middle East University, obtained from 2009 to 2011, and another in Data Science from Regis University, achieved from 2020 to 2022. Her academic background provides a strong foundation for her work in data analytics and machine learning.
Technical Skills and Tools
Salih demonstrates proficiency in various programming languages, including Python, R, and SQL. She possesses advanced knowledge in Spark and MongoDB. Her technical skills extend to data visualization tools such as Tableau, Matplotlib, and Plotly, which she utilizes to simplify and visualize analytical outputs. Salih is experienced in deploying predictive models and scaling data within big data and cloud systems.
Analytical Techniques and Leadership
Safa Salih employs a range of data analytics techniques, including parametric and non-parametric tests, inferential statistics, and text mining. She is skilled in machine learning techniques such as logistic and linear regression, random forest, and neural networks. Salih provides leadership and support for sales and operations through complex reporting and predictive models, fostering collaboration and building strong business partnerships.