Ziad Sakr
Hi!
I'm Ziad Sakr, a versatile professional at the intersection of data science and cutting-edge technology.
My academic journey includes a Bachelor's in Computer Science from Trinity College and a Master’s in Applied Data Analytics from Boston University,
fueling my expertise in Python, R, Java, and JavaScript. With a robust foundation in frameworks like TensorFlow, React, and Tableau, I've steered impactful projects,
including biomedical data processing and COVID-19 data summarization.
At Nference, Inc., I worked as a Data Scientist were I led the charge in refining project pipelines, ensuring accuracy in datasets extracted from intricate clinical notes.
In my role as a the Co-Founder at Scholar Pathways, LLC, I facilitated seamless international student placements and collaborated on legal agreements with Harvard Law School.
My tenure as a Software Engineer at AtlasRTX, LLC involved managing Azure compute and optimizing chatbot functionalities using C#.
My technical leadership shines through in my contributions—a testament to my proficiency in developing REST APIs, chatbots, and predictive models leveraging Node.js,
React, and Python. Particularly in COVID-19 analysis, I utilized regression models and advanced data analysis techniques,
offering critical insights during the pandemic's tumultuous period.
