Hayder Zaeem
Software Engineering I have been working in this field for more than nine years, all the experiences and skills I gained from university specializations, Google course and following up on the work of its team.
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My About
In 2014, I began my journey in software engineering, and since then, I have gained 9 years of experience in this field. During this time, I have devoted myself to working on open source projects, which has given me the opportunity to participate in many well-known and respected initiatives. Throughout my career, I have had the privilege of working alongside talented and experienced individuals who share my passion for technology. Together, we have created a variety of unique and noteworthy projects. One of the things I love most about software engineering is the constant evolution of technology. As such, I remain committed to continuing my education and exploring every new technological advancement that comes my way. For me, learning is a lifelong pursuit, and I am eager to embrace every opportunity to expand my knowledge and skills in this exciting field.
UI/UX Designer
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Number Phone 1 : +964 782 946 8766
Number Phone 2 : +964 771 340 1953
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My Country : Iraq Babylon
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Degree certificate : All the certificates I own are from the most prominent companies such as Google
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My Email : hayderzaeim@gmail.com
What is my plan
Cybersecurity
The next goal is to study in depth Cybersecurity because it is one of the important disciplines at the time
Psychology
The courses that help me analyze the psychology of the user and study his condition are courses in psychology
Artificial intelligence
I will go further in developing my AI skills because it is the future and the present and we will need it
My Tools
![](assets/img/xd_logo.png)
" Adobe XD application helps create user experience and wireframes very quickly. It is an essential application for the user experience designer "
Adobe Xd, Visual Design![](assets/img/figma_logo.png)
" Figma is not a web application? It is a giant and beautiful system for UX designers, because it has a lot of advanced tools "
Figma, Visual Design![](assets/img/sketch_logo.png)
"An excellent, beautiful and great application at the same time, this application when used, the user feels luxurious in terms of tools"
Sketch, Design![](assets/img/ganalysis_logo.png)
"An excellent, beautiful and great application at the same time, this application when used, the user feels luxurious in terms of tools"
Analytics, GoogleMy CV
Education (Specialization)
Duke University Java Programming and Software Engineering Fundamentals Specialization
Oct 2015 - Dec 2015
Take your first step towards a career in software development with this introduction to Java—one of the most in-demand programming languages and the foundation of the Android operating system. Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.
University of Michigan Python for Everybody Specialization
Nov 2015 - Feb 2016
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
UC San Diego Data Structures and Algorithms Specialization
Apr 2016 - Aug 2016
This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.
Stanford University Probabilistic Graphical Models Specialization
Jan 2017 - Mar 2017
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.
University of Colorado Boulder The Teacher and Social and Emotional Learning (SEL) Specialization
Jan 2018 - Mar 2018
Social and emotional learning, or SEL, programs have flourished in schools during the last decade. These programs vary widely but most share a concern for five individual, student competencies: self awareness; self-management; social awareness; relationship skills; and finally responsible decision making. It is important for teachers and parents to know about and understand these programs. While lots of SEL programs emphasize K-12 student social and emotional learning, only a very few programs exist to promote, and help teachers explore their own emotional well-being. In this Specialization our central premise is this:
UC San Diego Big Data Specialization
Jul 2017 - Sep 2017
Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.
Stanford University Algorithms Specialization
Nov 2016 - Dec 2016
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.
University of Alberta Reinforcement Learning Specialization
Oct 2019 - Dec 2019
The Reinforcement Learning Specialization consists of 4 courses exploring the power of adaptive learning systems and artificial intelligence (AI). Harnessing the full potential of artificial intelligence requires adaptive learning systems. Learn how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end. By the end of this Specialization, learners will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.
University of London Introduction to Computer Science and Programming Specialization
Jan 2019 - Mar 2019
becoming a detective and solving crimes in an interactive sleuth application and apply computer science concepts to solve problems found in daily computer use. This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem solving and modelling stages of computer science.
Duke University Data Analysis with R Specialization
Oct 2016 - Dec 2016
In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.
University of Alberta Software Design and Architecture Specialization
Jun 2020 - Sep 2020
In each course you will be given a Java codebase as a starting point and will have to document and implement new features using your knowledge gained in the course. Prerequisites You are expected to have basic Java programming knowledge. The capstone application will require you to use Android Studio, an integrated development environment. To learn more about Android Studio, please review the tutorials for Windows or Mac. In the Software Design and Architecture Specialization, you will learn how to apply design principles, patterns, and architectures to create reusable and flexible software applications and systems. You will learn how to express and document the design and architecture of a software system using a visual notation. Practical examples and opportunities to apply your knowledge will help you develop employable skills and relevant expertise in the software industry.
Duke University Introductory C Programming Specialization
Mar 2018 - May 2018
This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields.
My Skills
UI/UX Design Google
2020 - 2022+
I learned user experience design through a Google course, and participated in discussions during several sessions from the first course, and this course was full of information that increased my knowledge, and it is an important part of my journey in UX from 2017 to 2022
Digital Marketing & E-commerce Google
2020 - 2022+
I learned digital marketing and e-commerce through a Google course, and I learned about the ways that large companies use in marketing Like Google and Apple and Amazon and IBM, and I was a good researcher in this field
Project Managemen Google
2020 - 2022+
Learn how to manage projects more strongly with the Google course, which increased my knowledge in this field very well, and I aspire to increase my experience in this field more, and I experienced participating in large projects
User Psychological Analysis
2018 - 2022+
I learned user psychology analysis from many sources such as Google, Facebook, Amazon and Apple research, and I have seen many scientific researches that explain how to understand user psychology
Scientific Design
2019 - 2022+
I learned scientific design through research and deep learning of the design methods that companies and research that explains scientific design methods always insist on following scientific rules that give a logical reason for every design that is created
Design Architecture Web & App
2019 - 2022+
I learned to build architecture design WEB or APP through the scientific research of psychology, which laid down some rules through which architecture must be built, and I developed some rules based on scientific research
IBM Data Science
July 21, 2022+
Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills.
Google IT Support
July 3, 2022+
This program includes over 100 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world IT support scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in IT. Through a mix of videos, assessments, and hands-on labs, you’ll be introduced to troubleshooting, customer service, networking, operating systems, and security — foundational IT skills required for an entry-level job. Your skills will include: Network protocols, cloud computing, Windows operating system, Linux command line, systems administration, encryption algorithms and techniques, and more. Learn concrete skills that top employers are hiring for right now.
Google Data Analytics
June 24, 2022+
This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job. Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming In addition to expert training and hands-on projects, you'll complete a case study that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.
IBM DevOps and Software Engineering Professional Certificate
2021 - 2022+
DevOps professionals are in high demand! According to a recent GitLab report, DevOps skills are expected to grow 122% over the next five years, making it one of the fastest growing skills in the workforce. This certificate will equip you with the key concepts and technical know-how to build your skills and knowledge of DevOps practices, tools and technologies and prepare you for an entry-level role in Software Engineering. The courses in this program will help you develop skill sets in a variety of DevOps philosophies and methodologies including Agile Development, Scrum Methodology, Cloud Native Architecture, Behavior and Test-Driven Development, and Zero Downtime Deployments.
Amazon Web Services DevOps on AWS Specialization
2019 - 2022+
DevOps on AWS specialization teaches you how to use the combination of DevOps philosophies, practices and tools to develop, deploy, and maintain applications in the AWS Cloud. Benefits of adopting DevOps include: rapid delivery, reliability, scalability, security and improved collaboration. The first course introduces you to essential AWS products, services, and common solutions. The course covers the fundamental concepts of compute, database, storage, networking, monitoring and security that learners and professionals will need to know when working with AWS.
IBM Full Stack Software Developer Professional Certificate
2019 - 2022+
This Professional Certificate will equip you with all the key skills and technical know-how to kickstart your career as a Full-Stack Cloud Native Application Developer. Guided by experts at IBM, you will learn to build your own cloud-based applications and practice working with the technologies behind them. This program consists of ample instructional content as well as hands-on exercises and projects designed to hone your skills and help you build your portfolio.
Google IT Automation with Python Professional Certificate
2020 - 2022+
This beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career. Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers. This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud. This certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completion, you can share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.
Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate
2020 - 2022+
This Professional Certificate is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Professional Certificate teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This Professional Certificate teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. By the end of this program, you will be ready to take the DP-100: Designing and Implementing a Data Science Solution on Azure.
All other Licenses & Certifications are on my Linkedin account
My Work Skills
My Works
These are some of the work I accomplished during the course and after the course
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You can contact me at any time on all of my accounts below.
GitHub
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hayderzaeim@gmail.comTelegram
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