Ahmed ElSabbagh
Data Scientist at Synapse Analytics- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English Full professional proficiency
-
Arabic Native or bilingual proficiency
-
French Limited working proficiency
Topline Score
Bio
Credentials
-
Advanced Web Development Nanodegree
UdacitySep, 2020- Nov, 2024 -
FWD Digital Marketing Challenger Track
UdacityAug, 2020- Nov, 2024 -
Fundamental course in the AWS Machine Learning Scholarship
UdacityJul, 2020- Nov, 2024 -
Data Analyst Nanodegree Program
UdacityJun, 2020- Nov, 2024 -
Neural Networks and Deep Learning
CourseraJun, 2020- Nov, 2024 -
Bertelsmann Scholarship Winner
UdacityMar, 2020- Nov, 2024 -
Cloud Developer Nanodegree for Enterprise
UdacityJan, 2020- Nov, 2024 -
Bertelsmann Scholarship, Data Science Trank
UdacityNov, 2019- Nov, 2024 -
Cloud Application Developer 2018 Mastery Award for Students_certificate
IBMJun, 2019- Nov, 2024 -
TOEFL ibt
ETSApr, 2021- Nov, 2024 -
Android Developer Track
Udacity -
Full Stack Developer Track
Udacity
Experience
-
Synapse Analytics
-
Egypt
-
Software Development
-
1 - 100 Employee
-
Data Scientist
-
Oct 2020 - Present
As full time Data Scientist, I worked on the following major projects: * Geospatial Travel Expenses Estimator and Fraud Detection For Medical Reps: + Extracted address details from Arabic free-text addresses. + Approximated medical reps visits and addresses to existing company address structure. + Estimated travelled distance and compared it with requested expenses for fraud detection. + Built a detailed BI dashboard with Superset and Dash to track rep movements to… Show more As full time Data Scientist, I worked on the following major projects: * Geospatial Travel Expenses Estimator and Fraud Detection For Medical Reps: + Extracted address details from Arabic free-text addresses. + Approximated medical reps visits and addresses to existing company address structure. + Estimated travelled distance and compared it with requested expenses for fraud detection. + Built a detailed BI dashboard with Superset and Dash to track rep movements to verify fraud on several steps. * Credit Scoring AI models and Customer Segmentation For Banking and Financial Services (3 clients): + Built engine to extract address, education, and employment details from Arabic free-text data. + Automated cleaning and prepping process for historical loan payments. + Built a classification model to predict payment behavior based on historical data. + Built interactive Shiny presentation for POC purposes using Plotly. + Built a Shiny dashboard app for POC purposes for Customer Segmentation and association rules. + Had an instrumental role in securing a contract with a client in a credit scoring scope. + Packaged and dockerized models for Credit Scoring and Credit Limits and deployed on Konan MLOps tool. + Assisted in continuous integration for the models with the consumer clients. * Used car price predictions: + Collected data using a Golang multithreaded scrapper that is 10 times faster than original Python scrapper. + Synthetized data to simulate historical price changes. + Created regression model to estimate used car prices. * Konan: + Implemented Konan libraries for NLP, RFM customer segmentation, and time series analysis. + Insured modularity and reusability.
-
-
Data Science Intern
-
Jul 2020 - Oct 2020
As Data Science Intern, my responsibilities were mainly focused on Synapse's proprietary data analysis program, Konan, which included analysis for credit scoring and time series analysis. During my work on Konan, I was tasked with * Feature engineering and selection * Early Natural Language Processing for credit scoring. * Regression for early time series analysis module. * My other responsibilities include writing reports based on my findings in my previously mentioned tasks… Show more As Data Science Intern, my responsibilities were mainly focused on Synapse's proprietary data analysis program, Konan, which included analysis for credit scoring and time series analysis. During my work on Konan, I was tasked with * Feature engineering and selection * Early Natural Language Processing for credit scoring. * Regression for early time series analysis module. * My other responsibilities include writing reports based on my findings in my previously mentioned tasks. * I have also worked on Business Intelligence project using Dundas BI.
-
-
-
The British University in Egypt
-
Egypt
-
Higher Education
-
700 & Above Employee
-
Teaching Assistant
-
Sep 2019 - Sep 2020
As a teaching assistant, I was tasked with * Teaching several courses/modules for Computer Science students in labs and tutorials. * The courses included: Operating Systems, Internet Programming and Data Mining. * I have also taught Humanities and Scientific Thinking as a guest TA. My other responsibilities included * Invigilation of exams. * Supervising group and individual projects. * Marking coursework activities.
-
-
Backend .NET Developer
-
Oct 2019 - Jan 2020
As a part-time job along teaching, I briefly joined the software development team for the university, where I was tasked to: * Make the REST APIs for the new SRS admin system, using entity framework, LINQ, MSSQL with .NET web API.
-
-
-
TPAY MOBILE
-
United Arab Emirates
-
Financial Services
-
100 - 200 Employee
-
Backend Intern
-
Aug 2018 - Aug 2018
As a Backend Intern, I had the responsibility of learning to use ASP.NET and use the knowledge to build a data representation program for the internal projects, during which I had exposure to the database structure used by TPay-Mobile. As a Backend Intern, I had the responsibility of learning to use ASP.NET and use the knowledge to build a data representation program for the internal projects, during which I had exposure to the database structure used by TPay-Mobile.
-
-
Education
-
2022 - 2025
Arab Academy for Science, Technology and Maritime Transport
Master of Science - MS, Data Science -
2015 - 2019
The British University in Egypt
Bachelor's degree, Computer Science -
2001 - 2015
Collège des Frères Bab El Louk
High School Diploma
Community
