Tarek Amman Jordan

Tarek

Introduction to Machine Learning Trainer in Amman
Location
Amman, Jordan
Trainer Since
June, 2019
Introduction to Machine Learning
Introduction to Deep Learning
Generative AI with Large Language Models
Machine Learning with Python
Machine Learning with Scikit-Learn
Microsoft Azure Machine Learning for Data Scientists
MicroStrategy
Data Visualization with Tableau
Snowflake
Databricks
Data Analytics for Managerial Decision Making
Data Analytics & Visualization
Location
Amman, Jordan
Trainer Since
June, 2019
Introduction to Machine Learning
Introduction to Deep Learning
Generative AI with Large Language Models
Machine Learning with Python
Machine Learning with Scikit-Learn
Microsoft Azure Machine Learning for Data Scientists
MicroStrategy
Data Visualization with Tableau
Snowflake
Databricks
Data Analytics for Managerial Decision Making
Data Analytics & Visualization

Introduction to Machine Learning Trainer in Amman

About Tarek

Tarek is a highly skilled Corporate Trainer with over 5 years of experience, specializing in advanced data analytics and machine learning. He brings a wealth of expertise in various cutting-edge technologies, including Introduction to Machine Learning, Deep Learning, and Generative AI with Large Language Models. Tarek has an in-depth understanding of Machine Learning with Python and Scikit-Learn, providing learners with a solid foundation in both theoretical and practical aspects of these domains.

Tarek's proficiency extends to using Microsoft Azure Machine Learning for Data Scientists, which enables professionals to harness cloud-based solutions for efficient machine learning model development and deployment. Additionally, he is well-versed in leading tools for data analytics and visualization, such as MicroStrategy, Tableau, Snowflake, and Databricks. His ability to integrate these platforms into practical learning experiences allows participants to master skills in data visualization, cloud computing, and large-scale data analytics.

Beyond technical knowledge, Tarek also excels in teaching the strategic aspects of data analytics, with a focus on Data Analytics for Managerial Decision Making. This ensures that learners can apply their skills to real-world business problems, enhancing their ability to make informed decisions. With a teaching style rooted in hands-on exercises, case studies, and real-world applications, Tarek empowers professionals to stay ahead in the fast-evolving field of data science and analytics.

His ability to simplify complex concepts and create an engaging learning environment has made him a sought-after trainer, delivering transformative results for organizations seeking to leverage data-driven insights for success.

Tarek is a Corporate Trainer For

Introduction to Machine Learning

Training Since:
June, 2019

Introduction to Deep Learning

Training Since:
June, 2019

Generative AI with Large Language Models

Training Since:
September, 2023

Machine Learning with Python

Training Since:
June, 2019

Machine Learning with Scikit-Learn

Training Since:
June, 2019

Microsoft Azure Machine Learning for Data Scientists

Training Since:
September, 2023

MicroStrategy

Training Since:
September, 2019

Data Visualization with Tableau

Training Since:
September, 2021

Snowflake

Training Since:
September, 2022

Databricks

Training Since:
January, 2022

Data Analytics for Managerial Decision Making

Training Since:
January, 2022

Data Analytics & Visualization

Training Since:
January, 2021

Work Experience

Corporate Trainer

Education:
April, 2023 - present

Roles & Responsibilities

  • Develops customized training content based on organizational needs and delivers engaging sessions to employees across various departments
  • Continuously evaluates the success of training programs through feedback, assessments, and performance metrics, making improvements as necessary
  • Provides employees with the tools, knowledge, and skills needed to perform their jobs effectively, fostering both professional growth and organizational success
  • Utilizes various teaching methods, such as workshops, e-learning, role-playing, and simulations, to accommodate different learning preferences
  • Works closely with team leaders, HR, and managers to identify training needs and ensure that training aligns with company goals and strategies

Senior Delivery Principal

Computer and Information Technology (IT):
April, 2021 - September, 2022

Roles & Responsibilities

  • Managed large-scale projects, ensuring successful delivery within scope, timeline, and budget while maintaining high standards of quality
  • Development and execution of project strategies, collaborating with cross-functional teams to align with client objectives and business goals
  • Provided mentorship and guidance to delivery teams, fostering professional growth and ensuring the application of best practices in project execution
  • Engaged with key stakeholders, including clients and senior leadership, to drive continuous improvement and resolve project-related issues
  • Managed resource allocation and capacity planning, optimizing team efficiency and ensuring alignment with project demands and business priorities

Director of Data & Analytics

Computer and Information Technology (IT):
May, 2019 - April, 2021

Roles & Responsibilities

  • Development and execution of data and analytics strategies to support business goals and drive decision-making across the organization
  • Managed and optimized data infrastructure, ensuring the efficient collection, storage, and analysis of data while maintaining data quality and governance standards
  • Supervised a team of data scientists, analysts, and engineers, fostering collaboration and professional growth while overseeing day-to-day operations
  • Collaborated with cross-functional teams, including IT, marketing, and finance, to identify data-driven opportunities and implement actionable insights
  • Delivered regular reports and presentations to senior leadership, providing data-driven recommendations and ensuring alignment with organizational objectives

Senior Production Consultant

Computer and Information Technology (IT):
November, 2006 - March, 2013

Roles & Responsibilities

  • Managed production projects, ensuring timely and efficient delivery by coordinating with cross-functional teams to align with production goals
  • Provided expert consultation on production processes, identifying and implementing improvements to optimize productivity, quality, and cost-efficiency
  • Monitored production workflows and identified bottlenecks, implementing corrective actions to enhance output and minimize delays
  • Conducted regular assessments of production equipment, tools, and technology to ensure operational readiness and compliance with safety standards
  • Trained and mentored junior team members, sharing best practices and technical knowledge to build a skilled, productive team

Business Analyst

Computer and Information Technology (IT):
June, 2005 - August, 2006

Roles & Responsibilities

  • Gathered and documented business requirements through stakeholder interviews, workshops, and observations to ensure a thorough understanding of project needs
  • Analyzed data trends, patterns, and insights to identify business challenges and potential solutions, aiding in decision-making processes
  • Created process maps and workflow diagrams to illustrate current and proposed processes, which helped stakeholders visualize system changes and improvements
  • Worked closely with cross-functional teams, including developers, project managers, and end-users, to ensure alignment on project goals and deliverables
  • Organized and facilitated UAT sessions to validate that the final solutions met business requirements and were ready for deployment

Skills

Python
Microsoft SQL Server
SSIS
JavaScript
SQL
Machine Learning
Business Analysis
Data Modeling
ETL
Big Data
Social Media Marketing
Artificial Intelligence
Data Science
MATLAB
ChatGPT
GitHub

Education

Northern Arizona University

CIS:
1998-2001

Georgia Institute of Technology

Master of Science in Analytics:
2022-2024

Projects

Healthcare Data Lake Project

Healthcare:
November 2023 - July 2024

Azure Modernization Project

Financial :
January 2023 - December 2023

Globa Music Rights Azure Data Modernization

Media and Entertainment:
April 2022 - July 2022

DMED Data Modernization Project on AWS

Media and Entertainment:
December 2021 - April 2022

Customer Lifetime Value Project

Telecommunication:
June 2021 - December 2021

Employee Churn Prediction

Media and Entertainment:
April 2021 - June 2021

Legal Rights Search (for Legal Council)

Media and Entertainment:
June 2017 - December 2017

Global Box Office Forecasting

Media and Entertainment:
January 2017 - April 2017

Data Deduplication and Migration

Professional, Scientific and Technical Activities:
May 2019 - December 2019

Posts

Healthcare Data Lake Project

Healthcare:
November 2023 - July 2024

Azure Modernization Project

Financial :
January 2023 - December 2023

Globa Music Rights Azure Data Modernization

Media and Entertainment:
April 2022 - July 2022

DMED Data Modernization Project on AWS

Media and Entertainment:
December 2021 - April 2022

Customer Lifetime Value Project

Telecommunication:
June 2021 - December 2021

Employee Churn Prediction

Media and Entertainment:
April 2021 - June 2021

Legal Rights Search (for Legal Council)

Media and Entertainment:
June 2017 - December 2017

Global Box Office Forecasting

Media and Entertainment:
January 2017 - April 2017

Data Deduplication and Migration

Professional, Scientific and Technical Activities:
May 2019 - December 2019

Courses

Introduction to Machine Learning
Introduction to Deep Learning
Generative AI with Large Language Models
Machine Learning with Python
Machine Learning with Scikit-Learn
Microsoft Azure Machine Learning for Data Scientists
MicroStrategy
Data Visualization with Tableau
Snowflake
Databricks
Data Analytics for Managerial Decision Making
Data Analytics & Visualization

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