Zaher Eisa

Background

About Zaher Eisa

Proficient in SAS, SQL, Tableau, and R, with a strong background in statistical analysis and data processing. Currently, I'm actively working on an independent project implementing Principle Component Analysis (PCA) and clustering visualizations to explore Open Payments CMS data. As a SAS Programmer at Econometrica Inc, I handled over 30 million records daily with exceptional accuracy. In my data analytics work, I leverage a diverse range of tools and methodologies, including both learned and unlearned machine learning algorithms. I use supervised and unsupervised learning approaches to gain insights from labeled and unlabeled datasets, respectively. Having worked as a Jr Data Analyst, I have utilized SQL to query and manipulate data in a MySQL database, creating reports and visualizations in Excel and Tableau. My experience with statistical programming allows me to apply advanced methodologies for data insights.