Ahmed D.

Data Engineer

Ahmed boasts over 13 years of extensive experience as a Data Analytics and Business Intelligence professional specializing in data analysis and visualization.

He possesses extensive experience in Data Cleaning and Exploratory Data Analysis (EDA), utilizing a wide array of tools and languages such as Python, IMPALA, Hive, SQL, PySpark, Pandas, NumPy, TensorFlow, and Keras.

Ahmed's professional background encompasses roles as a Senior Big Data, Data Scientist, and Data Architecture consultant, with expertise in RF Planning and Optimization, Capacity Planning, and Wireless Solution Architecture.

Main expertise
  • Apache Hive
    Apache Hive 5 years
  • Apache Kafka
    Apache Kafka 4 years
  • Apache Spark
    Apache Spark 5 years
Other skills
  • Keras
    Keras 2 years
  • Budget management 2 years
  • TensorFlow
    TensorFlow 2 years
Ahmed
Ahmed D.

Egypt

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Selected experience

Employment

  • Data Analytics & BI Senior Supervisor

    Orange - 1 year 4 months

    • Data Analysis & visualization using Power BI and Tableau.
    • Building the B2B analytics ecosystem to serve the marketing and sales verticals.
    • Automating the generation of frequent manual reports.
    • Designing data mining models to cater to B2B insights needs.
    • Developing pricing simulation models.
    • Automating the calculation cycle for SIP-related KPIs.
    • Successfully developed a churn model to analyze and predict customer churn behaviors and make predictions.

    Technologies:

    • Technologies:
    • Data Engineering
    • Python Python
    • SQL SQL
    • Project management
    • MSSQL MSSQL
    • Tableau Tableau
    • Plotly Plotly
    • Microsoft Power BI Microsoft Power BI
  • Big Data & Data Scientist

    Etisalat Misr - 5 months

    • Develop network architecture using Spark, YARN, Cloudera CDH, and Hadoop.
    • Utilize various statistical tools to interpret data sets, focusing on identifying trends and patterns valuable for diagnostic and predictive analytics.
    • Perform data cleaning and exploratory data analysis (EDA) using Python, IMPALA, Hive, SQL, PySpark, Pandas, and NumPy.
    • Construct models to address business problems, including CNN, RNN, DNN, NLP, Computer Vision (CV), and TensorFlow/Keras.
    • Present dashboards using data visualization techniques, including Tableau and MS Power-BI.

    Technologies:

    • Technologies:
    • Apache Hive Apache Hive
    • Apache Kafka Apache Kafka
    • Apache Spark Apache Spark
    • Python Python
    • SQL SQL
    • Tableau Tableau
    • Apache NiFi Apache NiFi
    • Keras Keras
    • TensorFlow TensorFlow
    • NumPy NumPy
    • Pandas Pandas
    • Hadoop Hadoop
    • Cloudera Cloudera
    • Microsoft Power BI Microsoft Power BI
  • Data Architecture

    Trend Solutions - 3 years 8 months

    • Conduct assessments and evaluations and provide recommendations for target architecture strategies and processes.
    • Consult on architecture-related concerns, ensuring alignment with the enterprise data strategy.
    • Recommend migration strategies, enterprise architectures, tools, and infrastructure required for successful solution implementation.

    Technologies:

    • Technologies:
    • Apache Hive Apache Hive
    • Apache Kafka Apache Kafka
    • Apache Spark Apache Spark
    • Data Engineering
    • Python Python
    • SQL SQL
    • MSSQL MSSQL
    • Keras Keras
    • TensorFlow TensorFlow
    • NumPy NumPy
    • Pandas Pandas
    • Hadoop Hadoop
    • Plotly Plotly
    • Microsoft Power BI Microsoft Power BI

Education

  • MSc.Big Data & Data Science

    Nile University, Giza, Egypt · 2022 - 2024

  • BSc.Electronics & Communications Engineering

    Cairo University, Cairo, Egypt · 2005 - 2009

Portfolio

  • porfolio-0

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