Ahmed Shaher
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Cairo, Cairo Governorate, Egypt
Toptal member since June 8, 2021
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.
Portfolio
Experience
- Python - 8 years
- Machine Learning - 5 years
- Data Science - 5 years
- Azure Machine Learning - 3 years
- Azure - 3 years
- Deep Learning - 3 years
- Reinforcement Learning - 3 years
- Machine Learning Operations (MLOps) - 3 years
Availability
Preferred Environment
Python, Data Science
The most amazing...
...thing I've created is a pipeline, including a ML model that increased access to short-term loans for a fintech by 24% through proper risk assessment.
Work Experience
Senior Data Scientist
Microsoft
- 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 Scientist
Elves
- 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.
Data Scientist
Benchmark Labs Middle East
- 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.
Junior Data Scientist
Cognitive
- 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.
Experience
Credit Risk Assessment and Limit Prediction for Fintech
Textual Emotion Recognition Using Ensemble Classifier
Dashboard for User Purchasing and Churn Analyses
Education
Master's Degree in Computer Science
Georgia Institute of Technology - Atlanta, Georgia, USA
Bachelor's Degree in Computer Engineering
Ain Shams University - Cairo, Egypt
Certifications
Microsoft Azure Developer Associate
Microsoft
Microsoft Certified: Azure Data Scientist Associate
Microsoft
Skills
Libraries/APIs
SciPy, LSTM, PyTorch, Natural Language Toolkit (NLTK)
Tools
Azure Machine Learning, Plotly, Named-entity Recognition (NER)
Languages
Python, SQL, JavaScript
Platforms
Azure, Azure Functions
Paradigms
Design Patterns
Storage
Azure SQL Databases, NoSQL
Other
Machine Learning, Reinforcement Learning, Deep Learning, Software Development, Computer Engineering, Data Science, Software Deployment, Data Analysis, Natural Language Processing (NLP), Clustering, Classification, Text Classification, Ensemble Methods, EDA, Recommendation Systems, Credit Risk, Algorithms, Modeling, Data Modeling, Predictive Analytics, Artificial Intelligence (AI), Generative Pre-trained Transformers (GPT), Deep Reinforcement Learning, Machine Learning Operations (MLOps), Azure Data Factory (ADF), eCommerce, Word2Vec, Financial Data, GraphDB, Social Networks, Social Network Analysis, Google Data Studio, Data Visualization, Time Series Analysis, Risk Models, Statistical Modeling, Data Engineering, Churn Analysis, Trend Analysis, Consumer Loans, Trading, Trading Applications, Optical Character Recognition (OCR)
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