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Ahmed S.

Data Scientist and Machine Learning Developer

Cairo, Cairo Governorate

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About Me

Ahmed is a senior data scientist with experience in innovative data science projects, including four years at Microsoft where he has worked on projects in the fintech, eCommerce, media, and oil and gas sectors. Ahmed has collaborated with customers' engineering teams and built complete pipelines, including data ingestion, machine learning models, and deployment to production. His industry experience is backed by a master's in computer science and machine learning from a top US business school.

Python 8 years Data Science 5 years Machine Learning 5 years Azure Machine Learning 3 years Deep Learning 3 years Reinforcement Learning 3 years Azure 3 years Machine Learning Operations (MLOps) 3 years Data Engineering Data Visualization GraphDB SQL SciPy Recommendation Systems Artificial Intelligence (AI) Ensemble Methods Clustering Natural Language Processing (NLP) Data Analysis Algorithms

Work history

Microsoft

Senior Data Scientist

2018 - Present (7 years)

, Remote

Worked in an innovation team in a Sales department. The team connects research, advanced technologies, and Microsoft strategic customers.
Co-innovated with Microsoft strategic customers by creating data platforms involving data ingestion, storage, and insights. This was done after engaging with the customer in exploratory data analysis workshops.
Created machine learning models to solve advanced problems, such as a credit risk assessment, a meta-learning video classification, and a recommendation engine over GraphDB based on customer scenarios.

Data Science Machine LearningAzure Machine Learning Deep Learning Azure Data Factory Python JavaScriptFinancial Data EDA Recommendation Systems GraphDB Social Networks Social Network Analysis Credit Risk ClassificationDeep Reinforcement Learning eCommerce ClusteringAzure Azure FunctionsComputer Engineering Data AnalysisMachine Learning Operations (MLOps) Natural Language Processing (NLP) Generative Pre-trained Transformers (GPT) GPT Data Visualization Algorithms SQLReinforcement Learning Software Development Design PatternsSoftware Deployment Churn Analysis Azure SQL Databases noSQLRisk Models Plotly ModelingStatistical Modeling Data Modeling Data Engineering Pytorch Predictive AnalyticsArtificial Intelligence (AI)

Benchmark Labs Middle East

Data Scientist

2017 - 2018 (1 year)

, Remote

Developed a book consultant chatbot (sipof.ink) that won first place in the Facebook Middle East and Africa Bots for Messenger Challenge in Productivity and Utility.
Trained a Doc2Vec model on book data to find similarities and similar books to recommend.
Trained an end-to-end memory network (MemN2N) for book recommendations and book question answering.

JavaScriptNatural Language Processing (NLP) GPT Generative Pre-trained Transformers (GPT) Algorithms Python Machine Learning Software DevelopmentComputer Engineering Data ScienceSoftware Deployment ClassificationWord2Vec SQL noSQL Modeling Data Modeling Predictive AnalyticsArtificial Intelligence (AI)

Cognitive

Junior Data Scientist

2016 - 2017 (1 year)

, Remote

Created a product linkage pipeline consisting of three stages—indexing, matching, and classification—to enable the creation of a master product from different eCommerce websites.
Achieved 77% accuracy on products in both Arabic and English across three different eCommerce websites.
Enabled users to compare products on different eCommerce websites, using this three-stage pipeline to match products with as little data as title and price range and create the master product page.

PythoneCommerce Machine Learning Clustering ClassificationText Classification Word2Vec Algorithms Software DevelopmentComputer Engineering Data ScienceSoftware Deployment Modeling Data Modeling Predictive AnalyticsArtificial Intelligence (AI)

Elves

Data Scientist

Present (2025 years)

, Remote

Developed custom named entity recognition for airports and airlines to annotate travel queries and automate the flight booking flow.
Built a reporting system for exploratory and predictive analytics to find trends and anomalies in the data. The system also reported on churning users and identified common scenarios to re-engage with a segment of churning users.
Trained an LSTM spam classifier to identify users who have malicious behavior.

Python Data AnalysisChurn Analysis Machine Learning Classification ClusteringComputer Engineering Google Data StudioNamed-entity Recognition (NER) EDA LSTM Deep Learning AlgorithmsReinforcement Learning Software Development Data ScienceSoftware Deployment SQL noSQL Plotly Modeling Data Modeling Predictive AnalyticsArtificial Intelligence (AI)

Portfolio

Credit Risk Assessment and Limit Prediction for Fintech

An MLOps pipeline I created, including a machine learning model that used small and medium business transactions, assessed their credit risk classifications, and determined the proper limits for payment extensions. This increased access to short-term loans for the fintech by 24% and decreased the default rate by 5%.

Textual Emotion Recognition Using Ensemble Classifier

Implemented an ensemble classifier system to classify whether the emotion in an input text is anger, disgust, fear, sadness, or joy. The system is based on three learners: two statistical learners and a knowledge-base learner, ensembled in a majority voting approach. The ensemble was able to classify emotions from tweets with a 95% F1 score.

Dashboard for User Purchasing and Churn Analyses

Developed a reporting system for exploratory and predictive analytics to find trends and anomalies in the data. The system also reported churning users and identified common scenarios to re-engage with a segment of churning users based on their previous purchasing patterns, accounting for seasonality. The dashboard was created in Python and visualized on Google Data Studio. Using this project, the marketing team was able to promptly engage with users and decrease the purchase churning percentage by 24%.

Education

Master's Degree in Computer Science

Georgia Institute of Technology

2019 - 2021 (2 years)

Bachelor's Degree in Computer Engineering

Ain Shams University

2011 - 2016 (5 years)