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I learn by sharing; let's grow together🤝
💡
I learn by sharing; let's grow together🤝

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saberfazliahmadi/README.md

Hi there, I'm Saber Fazliahmadi 👋

🔰 ➤ Every day, i Post Latest PHP => Laravel Tips For You on My GitHub Profile & Linkedin Page & YouTube Channel.

I learn by sharing; let's grow together🤝

✅Follow Saber Fazliahmadi GitHub Profile & Linkedin Page & YouTube Channel for More Daily Educational PHP => LARAVEL / SYMFONY Posts.

🔔Click "Follow" and Turn On the Notification Bell Icon on the Saber Fazliahmadi GitHub Profile & Linkedin Page & YouTube Channel to See All My Future Posts & Won't Miss any Updates!

🌐 Follow My GitHub Profile & Linkedin Page & YouTube Channel & Connect with Me:

My GitHub PHP => LARAVEL TIPS Repository Link: @saberfazliahmadi💡https://github.com/saberfazliahmadi/Laravel-Tips

📚 LARAVEL TIPS Repository Contents:
1 - 💡 Eloquent Relationships
2 - 💡 Query Optimization
3 - 💡 Avoid Model Methods for Data Retrieval
4 - 💡 Simplify Cache Management
5 - 💡 Cleaner Queries with Relationships
6 - 💡 Supercharge Your Queries with Dynamic where Methods
7 - 💡 Generate Fake Images and URLs with Faker
8 - 💡 Mastering whereAll, whereAny, orWhereAll, and orWhereAny
9 - 💡 Avoid orWhere() Pitfalls
10 - 💡 Customizing Faker Locale for Authentic Dummy Data
➡️More Tips...
➡️Contributing Guidelines
➡️License

📚 Stay Updated with Laravel Tips & Tricks

I post daily PHP and Laravel tips on:

My YouTube Channel: @saberfazliahmadihttps://www.youtube.com/@saberfazliahmadi


My LinkedIn Page: saberfazliahmadi/https://www.linkedin.com/in/saberfazliahmadi/


My WhatsApp Channel: WhatsApp Channelhttps://chat.whatsapp.com/CQiVjxBLLT2FF7t85csDCU


My Telegram Channel: Telegram Channelhttps://t.me/+ZMsq1sQYqwZhZDJk



🌟 Highlighted Projects:

  • Laravel Tips and Best Practices:
    A repository packed with valuable tips and tricks for Laravel developers. It covers topics like Eloquent relationships, query optimization, and caching strategies. A must-visit for developers looking to enhance their Laravel skills with practical insights.

  • Comprehensive Machine Learning Analysis:
    This project involves an in-depth exploration of regression, classification, and clustering techniques, showcasing the application of Python and machine learning for solving real-world problems.

  • Spam Detection Using Decision Tree and TF-IDF:
    A text classification pipeline that uses TF-IDF for feature extraction and a Decision Tree Classifier to identify spam messages. This project highlights expertise in natural language processing and machine learning workflows.


📚 Academic Contributions:

View my research contributions, publications, and academic work on:


🌐 Connect with Me


💼 About Me

<?php
namespace SaberFazliahmadi;

class About extends Me
{
    public function getBio(): string
    {
        return 'A curious Data Analyst & Backend Developer crafting solutions with PHP, Laravel, AI, and Machine Learning.';
    }
    
    public function getEducation(): array
    {
        return [
            'Currently chasing a Master’s in Intelligent Adaptive Systems @ Universität Hamburg',
            'Master’s in Information Technology Management (Information Resources Management) @ Azad University',
            'Bachelor’s in Electrical Engineering (Control) @ Azad University',
        ];
    }

    public function getCurrentFocus(): array
    {
        return [
            'Teaming up on AI-powered and data-driven projects',
            'Leveling up my Laravel backend and Data Science game',
        ];
    }
}

A Data Analyst with expertise in SQL, Python, Power BI, and Tableau, who has built dashboards, modeling, and visualizations that reduced errors by 17% and improved clinical workflow efficiency by 12%. Skilled in analyzing complex datasets to uncover actionable insights, with a background in Machine Learning, Database Optimization, and software development (Back-End & Front-End), combined with sales experience, providing a well-rounded approach to data-driven decision-making. Passionate about data storytelling and visualization, currently pursuing a Master’s in Intelligent Adaptive Systems at Universität Hamburg while improving German skills and seeking a Data Analyst position in Germany.

I’m also a PHP Laravel developer with skills in clean coding, SOLID principles, design patterns, PHPUnit testing, OOP, modular programming, and agile methodologies. I’ve tried front-end development, and I have a background in electrical engineering. This mix helps me bring different ideas together.


💼 I'm currently working on:

Enhancing my skills in Data Analysis using Tableau, Power BI, SQL & also enhancing my skills in Backend Development using PHP, Python, and the Laravel Framework while contributing to a collaborative healthcare project powered by artificial intelligence at MatabeOnline Clinic Management Software.


🤝 I'm looking to collaborate on:

  • Data Analyst positions.
  • Projects that combine artificial intelligence with backend technologies.
  • Innovative web applications or backend solutions powered by AI models.

🛠️ I'm Looking for Help With:

  • Expanding My Expertise in Data Analysis: I’m keen to level up my skills in analyzing complex datasets, focusing on advanced techniques like predictive modeling, machine learning integration, and data-driven decision-making.
  • Deepening My Proficiency in Data Analytics & PHP Backend Programming: I aim to blend data analytics with backend development to create efficient, scalable solutions that deliver real insights.
  • Mastering Advanced Laravel Features: I’m building robust backend systems and want to deepen my understanding of Laravel’s powerful tools, such as queue management, API development, and performance optimization.
  • I’m passionate about growing in these areas and would love any advice, resources, or collaboration opportunities you can share. If you’re experienced in these fields or know great learning materials, please reach out—I’d be excited to connect and learn together!

💬 Ask me about:

  • Data Analyst | Tableau | Power BI | SQL | Business Insights
  • Developing PHP solutions powered by artificial intelligence.
  • Optimizing Laravel frameworks.
  • Implementing clean code practices.
  • Applying machine learning AC51 to software development.

⚡ Fun Fact:

  • I started as an electronics technician, fixing radios and circuits with my hands. Now, I’m a Data Analysis and IT professional, working with data and software. I switched from hardware to coding and love combining these skills. For example, I can look at data from machines, write code to improve how they run, and check the results to make them even better. Solving tech problems this way is so much fun!

🚀 Skills and Expertise:

Data Analysis & Business Intelligence:

  • Exploratory Data Analysis (EDA), Data Cleaning, Feature Engineering
  • Data Visualization with Tableau, Power BI, Seaborn, Matplotlib
  • Statistical Modeling (Regression, A/B Testing, Hypothesis Testing, Probability Distributions)
  • Machine Learning (Supervised & Unsupervised Learning, Decision Trees, Clustering, Neural Networks)
  • Big Data & Cloud Analytics (AWS, Azure, SQL Databases, Excel Power Query)

Programming Languages:

  • PHP (Laravel, Symfony), Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL, HTML, CSS
  • Frameworks: Laravel, Bootstrap, PyTorch
  • Database: MySQL
  • Key Concepts: OOP, MVC, Modular Programming, Design Patterns, SOLID Principles, PHPUnit Testing, Agile Project Management (Scrum)
  • Artificial Intelligence: Machine Learning, Deep Learning, Neural Networks, NEAT, Genetic Algorithms
  • Tools: Git, Microsoft Office, CMS (WordPress, TYPO3, Moodle, Magento, Drupal), SPSS, SEO, EndNote

Languages and Tools:

tableau powerbi aws chartjs codeigniter css3 figma git html5 laravel matlab mysql opencv pandas photoshop php postman python pytorch scikit_learn seaborn symfony tensorflow vuejs


📊 GitHub Stats:

GitHub Stats Top Languages


Let’s collaborate and build something impactful together! 🚀

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  1. Laravel-Tips Laravel-Tips Public

    A collection of useful Laravel tips and best practices.

    36 11

  2. ML_Analysis_Regression_Classification_Clustering ML_Analysis_Regression_Classification_Clustering Public

    This repository contains a comprehensive machine learning analysis on a dataset, comparing the accuracy of various regression and classification models, selecting the best model, and applying clust…

    Jupyter Notebook 5 2

  3. spam-detection-tfidf spam-detection-tfidf Public

    Spam Detection Using Decision Tree and TF-IDF

    Jupyter Notebook 5 3

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