PROFESSIONAL PORTFOLIO

M. Mehdi
Yazdanian

A professional journey shaped by continuous learning, technology, data science and the pursuit of meaningful solutions.

PROFESSIONAL PROFILE

Building Knowledge.
Building Solutions.

Welcome to my professional portfolio.

This section of my website documents my professional development, education, technical skills and continuous learning.

My current focus is on developing deeper expertise in Python, Data Science, Machine Learning, Artificial Intelligence and Cloud Computing.

I believe that professional growth is a continuous process. This page will therefore evolve as I gain new experience, complete courses, obtain certifications and build practical projects.

Current Focus

Python Data Science Machine Learning Artificial Intelligence Cloud Computing

CURRICULUM VITAE

My Resume

For a complete overview of my professional experience, education, skills and qualifications, please see my current resume.

CV

EXPERIENCE

Career Timeline

A growing record of my professional experience, education and career development.

PRESENT

CURRENT FOCUS

Data Science & Technology

Professional Development

Currently developing knowledge and practical skills in data science, machine learning, artificial intelligence, Python and cloud technologies.

EDUCATION

ACADEMIC & CONTINUOUS LEARNING

Education & Professional Training

Details to be added

This section will document academic degrees, professional programs and other significant educational experiences.

EARLIER

PROFESSIONAL EXPERIENCE

Previous Experience

Details to be added

Previous professional positions, responsibilities and achievements will be added here.

CONTINUOUS LEARNING

Data Science Journey

The areas I am studying and developing as I progress toward deeper expertise in data science, machine learning and artificial intelligence.

01

Python

Programming fundamentals, data structures, functions and practical Python development.

02

Data Analysis

Data cleaning, exploration, manipulation, visualization and analytical thinking.

03

Statistics

Probability, statistical concepts, distributions and analytical methods.

04

Machine Learning

Supervised learning, unsupervised learning, model evaluation and practical ML.

05

Artificial Intelligence

Continuing development in AI, neural networks, deep learning and modern AI technologies.

06

Cloud Computing

Developing knowledge of cloud technologies and their applications to modern data systems.

EDUCATION

Courses & Training

Courses and training programs will be added here as they are completed.

DATA SCIENCE

Course Name

Course Provider

Course description and skills learned will be added here.

COURSE LINK →
MACHINE LEARNING

Course Name

Course Provider

Course description and skills learned will be added here.

COURSE LINK →
PROGRAMMING

Course Name

Course Provider

Course description and skills learned will be added here.

COURSE LINK →

TECHNOLOGY

Technical Skills

Programming

Python SQL

Data Science

Data Analysis Statistics Pandas NumPy

Machine Learning

Machine Learning Scikit-learn

Technology

Cloud Computing Git GitHub

Artificial Intelligence

Artificial Intelligence Deep Learning

PRACTICAL WORK

Professional Projects

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Projects Coming Soon

This section will showcase practical projects, data analyses, machine learning models, applications and other work developed during my professional and learning journey.

PROFESSIONAL DEVELOPMENT

Explore My Certificates

VIEW CERTIFICATES →