Nezar El-Kady

Nezar El-Kady has a comprehensive work experience in the field of data science and artificial intelligence. Nezar started their career in 2019 as a Data Scientist at Synapse Analytics. There, they developed machine learning models for a credit scoring system and created analytics dashboards for client evaluation. In 2020, they took on the role of Machine Learning Lead at Synapse Analytics, leading the development of an AI-powered analytics platform for leveraging CCTVs and providing vision features.

In 2021, Nezar worked as an Artificial Intelligence Instructor at AMIT Learning, where they shared their expertise in AI with students. In 2022, they served as a Computer Vision Teaching Assistant at the Information Technology Institute (ITI) and as a Data Science Instructor at Epsilon AI Institute. During this time, they also joined USAID as an Artificial Intelligence Expert Consultant, providing consultations and guidance on curriculum development related to IT and AI.

Additionally, Nezar served as a Software Session Lead at Udacity, leading Connect Sessions in various programming fundamentals topics and mentoring groups of students. Nezar'steaching efforts included Python, HTML, Data Analysis, Cyber Security, Embedded Systems, and Digital Art.

In summary, Nezar El-Kady has a diverse work experience in data science and AI, encompassing roles in developing machine learning models, leading AI-related projects, teaching AI concepts, and providing advisory services for curriculum development.

Nezar El-Kady's education history consists of a Master's degree, a Bachelor's degree, and secondary education. Nezar pursued a Master's degree in Computer Communication and Engineering with a specialization in Artificial Intelligence at Cairo University from 2019 to 2023. Prior to this, they obtained a Bachelor's degree in Electrical, Electronics, and Communications Engineering from Cairo University, completing their studies from 2013 to 2018. Nezar also has a secondary education degree in General Studies from DHLS, which they acquired between 1999 and 2013. Additionally, they have obtained several certifications, including the Connect Mentorship Nanodegree from Udacity in September 2022, the Deep Learning Specialization from DeepLearning.AI in January 2018, the Machine Learning course by Stanford from Coursera in October 2017, the National Instruments (NI) LabVIEW Training Course from NI (National Instruments) in September 2015, and the CECE Arduino Basics certification from the Communications and Electronics Club for Engineers - Cairo University in June 2014.