Senior Data Scientist
2018 - PRESENTMicrosoft- 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.
Technologies: Data Science, Machine Learning, Azure Machine Learning, Deep Learning, Azure Data Factory, Python, JavaScript, Financial Data, EDA, Recommendation Systems, GraphDB, Social Networks, Social Network Analysis, Credit Risk, Classification, Deep Reinforcement Learning, eCommerce, Clustering, Azure, Azure Functions, Computer Engineering, Data Analysis, Machine Learning Operations (MLOps), Natural Language Processing (NLP), Data Visualization, Algorithms, SQL, Reinforcement Learning, Software Development, Design Patterns, Software Deployment, Churn Analysis, Azure SQL Databases, NoSQL, Risk Models, Consumer Loans, Plotly, Modeling, Statistical Modeling, Data Modeling, Data Engineering, PyTorch, Predictive Analytics, Artificial Intelligence (AI)Data Scientist
2018 - 2018Elves- 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.
Technologies: Python, Data Analysis, Churn Analysis, Machine Learning, Classification, Clustering, Computer Engineering, Google Data Studio, Named-entity Recognition (NER), EDA, LSTM, Deep Learning, Algorithms, Reinforcement Learning, Software Development, Data Science, Software Deployment, SQL, NoSQL, Plotly, Modeling, Data Modeling, Predictive Analytics, Artificial Intelligence (AI)Data Scientist
2017 - 2018Benchmark 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.
Technologies: JavaScript, Natural Language Processing (NLP), Algorithms, Python, Machine Learning, Software Development, Computer Engineering, Data Science, Software Deployment, Classification, Word2Vec, SQL, NoSQL, Modeling, Data Modeling, Predictive Analytics, Artificial Intelligence (AI)Junior Data Scientist
2016 - 2017Cognitive- 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.
Technologies: Python, eCommerce, Product Linkage, Machine Learning, Clustering, Classification, Text Classification, Word2Vec, Algorithms, Software Development, Computer Engineering, Data Science, Software Deployment, Modeling, Data Modeling, Predictive Analytics, Artificial Intelligence (AI)