Synapse Analytics
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.
Synapse Analytics
Synapse Analytics is an AI company with a suite of products that help businesses adopt AI into their core operations. The company has three core products Konan, Azkavision & Doxter.Konan is an MLOps platform that focuses on deployment and production phase of the machine learning lifecycle. It significantly reduces the time to deployment andprovides maintenance and monitoring out-of-the-box, all while being language and platform agnostic. Companies can also leverage our pre-built models and deploy AI use-cases in their operations within minutes. Use-cases include alternative credit scoring, customer segmentation and demand forecasting etc.Azkavision is a plug and play AI powered video analytics platform, that helps facilities and retail stores use their security cameras to analyze untapped data. The platform gives its user insights into real-time traffic into your facility, visualize your traffic flow/paths, identify peak hours and get a better understanding of your customers' behavior. Doxter is our AI powered OCR platform built to scan, capture and extract valuable data from documents. Trained on heaps of Arabic and English datasets, Doxter aims to automate any document processing pain point you have within your company. Everything from ID and legal document verification to sales & purchase orders processing, we've built ready-to-go templates to make adopting the platform as quick as possible. You can also customize the engine to capture and parse data from your internal documents templates.