Sage Introduction
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Mostafa Nabieh
Apr 19, 2022, 6:12:11 PM4/19/22
to sage-gsoc
Hello,
It is a great opportunity to be a part of the Sage community. I hope this introduction marks the beginning of a productive, long-term working relationship.
• Two years of programming with Python. Fluent in the language.
Previous projects using Python:
- 3Now project:
3Now is a transport app, building the pipeline for the 3Now project, and then collecting streaming data (logs and user messages) to work with Kafka and use deep learning to predict the best user experience, the best route for the trip, and the best price for this trip. build pipeline for 3Now system architecture with 100000 users in 3Now system working with Hadoop, Spark, Kafka, MSK, SNS, CloudWatch, EMR Hudi, S3, Cassandra, Node.js, and EC2.
- Axess project:
Axess project is the stores are cashierless, thus partially automated, with customers able to purchase products without being checked out by a cashier or using a self-checkout station and also recommend the products for customers on-site and online. Building the pipeline for the Axess-go working with MongoDB, API Gateway, Spark, CloudWatch, Kafka, SNS, EC2, S3, and MSK.
- Casher-Kafka project:
Casher-Kafka is a streaming project, that built a big data pipeline to aggregate Twitter data relevant to different stocks for New York Stock Exchange (NYSE) and NASDAQ stock market and provides an analytic framework to perform user sentiment analysis on different stocks and find the correlation with the corresponding stock price.
Building the pipeline for the Casher-Kafka worked with Rest-API, Kafka, HDFS, EC2, S3, Spark Streaming, Azkaban, Cassandra, and Flask.
• College-level calculus, algebra, and statistics.
• Graduated with a BSc in Computer Science.
• Interested in greedy algorithms, backtracking algorithms, and dynamic programming.
• Advanced understanding of linear algebra and intermediate knowledge of computer algebra.
• Finished the Mathematics for Machine Learning specialization by Imperial College London on Coursera.
Books read:
- Basics of Linear Algebra for Machine Learning: Discover the Mathematical Language of Data in Python
- Deep Learning with Python: Develop Deep Learning Models on Theano and TensorFlow Using Keras
- Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python
Based in Cairo, Egypt.
It is a great opportunity to be a part of the Sage community. I hope this introduction marks the beginning of a productive, long-term working relationship.
• Two years of programming with Python. Fluent in the language.
Previous projects using Python:
- 3Now project:
3Now is a transport app, building the pipeline for the 3Now project, and then collecting streaming data (logs and user messages) to work with Kafka and use deep learning to predict the best user experience, the best route for the trip, and the best price for this trip. build pipeline for 3Now system architecture with 100000 users in 3Now system working with Hadoop, Spark, Kafka, MSK, SNS, CloudWatch, EMR Hudi, S3, Cassandra, Node.js, and EC2.
- Axess project:
Axess project is the stores are cashierless, thus partially automated, with customers able to purchase products without being checked out by a cashier or using a self-checkout station and also recommend the products for customers on-site and online. Building the pipeline for the Axess-go working with MongoDB, API Gateway, Spark, CloudWatch, Kafka, SNS, EC2, S3, and MSK.
- Casher-Kafka project:
Casher-Kafka is a streaming project, that built a big data pipeline to aggregate Twitter data relevant to different stocks for New York Stock Exchange (NYSE) and NASDAQ stock market and provides an analytic framework to perform user sentiment analysis on different stocks and find the correlation with the corresponding stock price.
Building the pipeline for the Casher-Kafka worked with Rest-API, Kafka, HDFS, EC2, S3, Spark Streaming, Azkaban, Cassandra, and Flask.
• College-level calculus, algebra, and statistics.
• Graduated with a BSc in Computer Science.
• Interested in greedy algorithms, backtracking algorithms, and dynamic programming.
• Advanced understanding of linear algebra and intermediate knowledge of computer algebra.
• Finished the Mathematics for Machine Learning specialization by Imperial College London on Coursera.
Books read:
- Basics of Linear Algebra for Machine Learning: Discover the Mathematical Language of Data in Python
- Deep Learning with Python: Develop Deep Learning Models on Theano and TensorFlow Using Keras
- Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python
Based in Cairo, Egypt.
Native language: Arabic.
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