Data expert with a successful record in developing and implementing data pipelines, analyzing data, and driving data-driven decision-making.
Experienced in a variety of data engineering tasks, including ETL, data architecture, data modeling, and data warehousing.
Expertise in Python, SQL, and a variety of data technologies, including Apache Cassandra, PostgreSQL, MySQL, DWH, Data Lakes, Apache Airflow, HDFS, Impala, Hive, NiFi, and Kafka.
Strong analytical and problem-solving skills with the ability to identify and solve complex data problems.
I graduated from many nano-degrees:
- Udacity Data Engineering.
- Udacity ML cross-skilling.
- Udacity Data Scientist.
- Udacity Data Analyst.
- Udacity Programming for Data Science.
- Udacity Deep Learning.
I'm interested in Automation and Scripting using Python.
I have experience in teaching math for high school students.
I also I design Flat Art and simple Illustrations.
HE IS ABSOLUTELY WONDERFUL, A VERY CARING AND NICE HUMAN BEING. VERY PROFESSIONAL WITH HIS WORK. DESPITE THE MINOR LANGUAGE BARRIER HE UNDERSTOOD THE REQUIREMENT PERFECTLY AND DELIVERED EXACTLY AS EXPECTED. I WOULD HIRE FOR SURE AGAIN IN THE FUTURE.
- Working on social media real data for many platforms (YouTube, Instagram, Change, Reddit, and Twitter).
Filtering and Wrangling millions of textual data to deliver neat and meaningful Reports.
- Applying NLP techniques to get the wanted results from the text.
- Organizing the work alongside the team using version control.
Research and Development Center "Egyptian Air Defense Military Commands"
июн. 2021 - мар. 2022 (9 месяцев, 2 дня)
- Develop Socket Programming Applications Using Python.
- Deal with Relational and Non Relational Databases.
Computer and Systems Engineering
Zagazig University, Egypt 2015 - 2020
Bertelsmann Tech Scholarship Challenge
Deep Learning Nanodegree
- Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative Adversarial Networks
- Deploying a Model on AWS SageMaker
HCIA-AI certification is intended to:
- Popularize AI
- and help understand Deep Learning
- and learn the basic capabilities of programming based on the TensorFlow framework
As a motive to promote talent training in the AI industry.
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