Name: Tariq Ibrahim
Profile: Data Analyst
Date: 25 Aug 1997
Email: Tariq.The.Ai@outlook.com
Phone: (+962) 798 30 99 30
Skills
Data Analysis 95%About me
Passionate about data analyst, I have actively engaged in various projects, gaining hands-on experience in data-driven decision-making and problem-solving. These experiences have fostered my ability to extract valuable insights from complex datasets, driving informed business strategies.
Driven by a thirst for knowledge, I am particularly enthusiastic about exploring the realms of artificial intelligence and big data. I believe that the combination of these fields holds immense potential for transforming industries and enhancing human lives.
As a data analyst, I strive to constantly expand my skill set and stay abreast of the latest developments in the industry. I am excited about the opportunities that lie ahead and look forward to leveraging my expertise to tackle challenging problems, contribute to cutting-edge projects, and make a positive impact through data-driven innovation.
Services
I offer a variety of services, including:
Designing and developing AI systems
I can design and develop AI systems that can solve real-world problems using my knowledge of machine learning, data science, and software engineering.
Risk assessment
I can use data to assess the risk of various events, such as the likelihood of a customer defaulting on a loan or any other risks. This can help businesses to make better decisions about how to allocate their resources.
Data Analysis & Visualization
I can help you collect, clean, and analyze your data to identify patterns and trends using machine learning and statistical techniques to build models that can predict future events or outcomes, and create visualizations of your data.
Customer segmentation
I can help your business by segmenting the customers into groups based on their demographics, behavior, or other characteristics. This can help businesses to target their marketing campaigns more effectively and improve customer's experience.
Data Collecting and Cleaning
I can help you collect, clean, and analyze your data to identify patterns and trends, use machine learning and statistical techniques to build models that can predict future events or outcomes. , make informed decisions by providing you insights from your data.
Product development
I can help businesses develop new products and services by identifying customer needs and trends. They can also help businesses to test and improve their products and services and keep tracking them to remain up-to-date.
Projects
All of these projects and much more are available as open source on my GitHub.
MY SUPPORTERS
" "
" "
certificates
You can view all my certificates here, but these are my top certificates.
Data Analysis
Data Analysis Course Using Python By PENN
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization
Machine Learning
Machine Learning Course by Andrew Ng
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. You will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
Data Analysis
Data Analysis Course by IBM on Coursera
The course "Introduction to Data Analytics" on Coursera, part of the IBM Data Analyst specialization, provides a comprehensive introduction to data analysis techniques. Learners gain essential skills in data manipulation, data visualization, and statistical analysis. Through hands-on exercises and real-world examples, participants develop a solid foundation in data analytics, enabling them to extract valuable insights from data sets and make informed business decisions.