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index.html
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<!DOCTYPE html>
<html class="no-js" lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>My Portfolio</title>
<link rel="shortcut icon" href="favicon.ico" type="image/x-icon">
<link rel="icon" href="favicon.ico" type="image/x-icon">
<link href="https://fonts.googleapis.com/css?family=Lato:300,400,700,900" rel="stylesheet">
<link rel="stylesheet" href="libs/font-awesome/css/font-awesome.min.css">
<link href="css/bootstrap.min.css" rel="stylesheet">
<link href="css/styles.css" rel="stylesheet">
</head>
<body>
<div id="mobile-menu-open" class="shadow-large">
<i class="fa fa-bars" aria-hidden="true"></i>
</div>
<!-- End #mobile-menu-toggle -->
<header>
<div id="mobile-menu-close">
<span>Close</span> <i class="fa fa-times" aria-hidden="true"></i>
</div>
<ul id="menu" class="shadow">
<li>
<a href="#about">About</a>
</li>
<li>
<a href="#experience">Experience</a>
</li>
<li>
<a href="#education">Education</a>
</li>
<li>
<a href="#projects">Projects</a>
</li>
<li>
<a href="#skills">Skills</a>
</li>
<li>
<a href="#contact">Contact</a>
</li>
</ul>
</header>
<!-- End header -->
<div id="lead">
<div id="lead-content">
<h1>Alireza Parvaresh</h1>
<h2>Data Scientist</h2>
<a href="https://github.com/parvvaresh/CV-Alireza-Parvaresh/blob/main/v1.1/cv.pdf" class="btn-rounded-white">Download Resume</a>
</div>
<!-- End #lead-content -->
<div id="lead-overlay"></div>
<div id="lead-down">
<span>
<i class="fa fa-chevron-down" aria-hidden="true"></i>
</span>
</div>
<!-- End #lead-down -->
</div>
<!-- End #lead -->
<div id="about">
<div class="container">
<div class="row">
<div class="col-md-4">
<h2 class="heading">About Me</h2>
</div>
<div class="col-md-8">
<p>
I am Alireza Parvash, a machine learning engineer with 2 years of experience in companies such as Iran Telecom, Zarin Pal
</p>
</div>
</div>
</div>
</div>
<!-- End #about -->
<div id="experience" class="background-alt">
<h2 class="heading">Experience</h2>
<div id="experience-timeline">
<div data-date="Mar 2024 - Present">
<h3>سامانه پردازش وب رایازبان</h3>
<h4>Machine Learning Engineer</h4>
<p>
In the role of an expert in the development and improvement of artificial intelligence models, my experience focuses on creating and enhancing deep learning models to estimate the cultivated area of agricultural products based on satellite images. This project involves various aspects including cleaning satellite data and designing deep learning models for analyzing data sent from satellites. Additionally, I have experience in deploying and running these models on cloud servers at Amirkabir University and am familiar with sending and managing data from different servers to the main servers.
</p>
</div>
<div data-date="Sep 2022 – May 2024">
<h3>IRAN Telecommunication Research Center (ITRC)</h3>
<p>
<li>Head of Product evaluation (May 2023 - Mar 2024)</li>
<p>
In our Artificial Intelligence and Security Laboratory, we specialize in evaluating artificial intelligence products, employing various algorithms tailored to each responsible party and assessing product integrity based on specific protocols.
We utilize diverse checklists covering aspects such as explainability, trustworthiness, interpretability, robustness, and more, for comprehensive measurement. For instance, we developed a systematic approach utilizing eight algorithms to evaluate the performance of Iranian machine translation system, Targuman.
Our commitment to rigorous evaluation methodologies ensures that AI products meet stringent standards, facilitating their trustworthiness and efficacy in real-world applications.
</p>
<li>Data Scientist (Dec 2022 - May 2023)</li>
<p>
Through web scraping techniques, we extracted close to 100,000 news articles from Iranian news websites, categorized into five labels: sports, politics, social, cultural, and arts.
Employing robust preprocessing methods, we opted for vectorization of Persian news texts, transitioning from traditional approaches like TF-IDF and bag-of-words to more advanced methodologies such as GloVe and Word2Vec, thus transforming the texts into numerical vectors.
Subsequently, we utilized various machine learning models including Logistic Regression, K-Nearest Neighbors, Weighted K-Nearest Neighbors, Naive Bayes, Decision Tree, Support Vector Machine (SVM), and Gradient Boosting. Leveraging greedy search techniques, we fine-tuned parameters to optimize model performance. Additionally, we explored deep learning architectures such as Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) models.
Our work exemplifies a comprehensive approach to text classification in Persian news articles, showcasing proficiency in both traditional and advanced machine learning techniques. Seeking opportunities to apply these methodologies in impactful projects and contribute to the field of natural language processing and text classification.
</p>
<li>Data Analyst (Sep 2022 - Dec 2022)</li>
<p>
Experienced in conducting comprehensive data analysis, I spearheaded a project focused on artificial intelligence articles sourced from the Scopus website spanning from 1973 to 2023. Our team meticulously analyzed keyword trends over each year and across various authors, elucidating insights into the evolving landscape of AI research.
Moreover, we investigated the intricate relationships between authors and their affiliated institutions, correlating these dynamics with the volume of articles published. The culmination of our efforts resulted in a detailed report, offering valuable insights into the trajectory of AI research.
Utilizing advanced neural network algorithms, we ventured into the realm of predictive analytics, forecasting the future trajectory of article publications in AI research up to the year 2600. Our work not only contributes to the ongoing discourse in this rapidly evolving field but also underscores our proficiency in leveraging cutting-edge methodologies to derive actionable insights.
</p>
</p>
</div>
<div data-date="Jul 2022 – Sep 2022">
<h3>Zarin pal</h3>
<h4>Data Analyst</h4>
<p>
At ZarinPal, we are dedicated to employing advanced machine learning algorithms for the detection of fraudulent cards and transactions.
</p>
</div>
</div>
</div>
<!-- End #experience -->
<div id="education">
<h2 class="heading">Education</h2>
<div class="education-block">
<h3>Amirkabir University of Technology - Tehran Polytechnic</h3>
<span class="education-date">2020 - 2025</span>
<h4>Bachelor of Science in Computer Science | Math</h4>
<p>
</p>
</div>
<!-- End .education-block -->
<!-- End .education-block -->
</div>
<!-- End #education -->
<div id="projects" class="background-alt">
<h2 class="heading">Projects</h2>
<div class="container">
<div class="row">
<div class="project shadow-large">
<div class="Pro">
<img src="images/project.jpg" />
</div>
<!-- End .project-image -->
<div class="project-info">
<h3>NLP-Projects</h3>
<p>
his repository contains a collection of Natural Language Processing (NLP) projects developed by me
such as :
<br>
<li>News Classification</li>
<li>Auto Correct</li>
<li>Measure Similarity</li>
<li>Text Summarization</li>
<li>Email Spam Detection</li>
<li>Resume Classification</li>
<li>Knowledge Graph</li>
</p>
<a href="https://github.com/parvvaresh/NLP-Projects">View Project</a>
</div>
<!-- End .project-info -->
</div>
<!-- End .project -->
<div class="project shadow-large">
<div class="project-image">
<img src="images/project.jpg" />
</div>
<!-- End .project-image -->
<div class="project-info">
<h3>Project Name Here</h3>
<p>
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur in iaculis ex. Etiam volutpat laoreet urna. Morbi ut tortor nec nulla commodo malesuada sit amet vel lacus. Fusce eget efficitur libero. Morbi dapibus porta quam laoreet placerat.
</p>
<a href="#">View Project</a>
</div>
<!-- End .project-info -->
</div>
<!-- End .project -->
</div>
</div>
</div>
<!-- End #projects -->
<div id="skills">
<h2 class="heading">Skills</h2>
<ul>
<li>Python</li>
<li>Pytorch</li>
<li>Machine Learning</li>
<li>Deep Learning</li>
<li>NLP</li>
<li>My SQL</li>
<li>Linux</li>
<li>Data Pre-Process</li>
<li>Web scraping</li>
</ul>
</div>
<!-- End #skills -->
<div id="contact">
<h2>Get in Touch</h2>
<div id="contact-form">
<form method="POST" action="https://formspree.io/[email protected]">
<input type="hidden" name="_subject" value="Contact request from personal website" />
<input type="email" name="_replyto" placeholder="Your email" required>
<textarea name="message" placeholder="Your message" required></textarea>
<button type="submit">Send</button>
</form>
</div>
<!-- End #contact-form -->
</div>
<!-- End #contact -->
<footer>
<div class="container">
<div class="row">
<div class="col-sm-5 copyright">
<p>
Copyright © <span id="current-year">2022</span> Alireza Parvaresh
</p>
</div>
<div class="col-sm-2 top">
<span id="to-top">
<i class="fa fa-chevron-up" aria-hidden="true"></i>
</span>
</div>
<div class="col-sm-5 social">
<ul>
<li>
<a href="https://github.com/parvvaresh" target="_blank"><i class="fa fa-github" aria-hidden="true"></i></a>
</li>
<li>
<a href="https://stackoverflow.com/parvvaresh" target="_blank"><i class="fa fa-stack-overflow" aria-hidden="true"></i></a>
</li>
<li>
<a href="https://www.linkedin.com/in/parvvaresh/" target="_blank"><i class="fa fa-linkedin" aria-hidden="true"></i></a>
</li>
<li>
<a href="https://www.facebook.com/parvvaresh/" target="_blank"><i class="fa fa-facebook" aria-hidden="true"></i></a>
</li>
<li>
<a href="https://x.com/reza__parvaresh" target="_blank"><i class="fa fa-twitter" aria-hidden="true"></i></a>
</li>
<li>
<a href="https://plus.google.com/" target="_blank"><i class="fa fa-google-plus" aria-hidden="true"></i></a>
</li>
</ul>
</div>
</div>
</div>
</footer>
<!-- End footer -->
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<script src="js/scripts.min.js"></script>
</body>
</html>