Hello,
It is a great opportunity to be a part of the SymPy 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
- Intermediate knowledge of SymPy.
- Based in Cairo, Egypt.
- Native language: Arabic.
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