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💫 About Me:

👋 Hello fellow coders! I am Parsa Beigzadeh, an AI developer, software engineer, and data scientist with a passion for pushing the boundaries of technology. 🚀

🧠 With a solid background in data science and software development, I love diving deep into complex problems and crafting elegant solutions using the latest advancements in AI and machine learning. 💡

💻 Proficient in Python, C++, C#, and a variety of frameworks and tools, I enjoy bringing algorithms to life and harnessing the power of data to uncover insights and drive innovation. 📊

⚙️ Whether it's training neural networks, developing efficient software systems, or predicting earthquakes with jaw-dropping accuracy, I thrive on the challenge of using cutting-edge technologies to make a positive impact. 💥

🌌 Join me on this exciting journey as we explore the frontiers of artificial intelligence, conquer new coding challenges, and create a future where machines and humans collaborate seamlessly. Let's code our way to a better world! 🌍

📫 Feel free to reach out to me for collaboration opportunities, exciting projects, or just to geek out about AI and all things tech. Together, we can transform the impossible into reality! 🤝

🚀 May the code be with you! 🖖

🌐 Socials:

LinkedIn

💻 Tech Stack:

C# C++ Python JavaScript CSS3 Azure AWS Google Cloud .Net Anaconda Xamarin Django Flask jQuery AmazonDynamoDB MicrosoftSQLServer MongoDB MySQL SQLite MariaDB Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow LINUX Docker Kubernetes Notion Postman

📊 GitHub Stats:



🏆 GitHub Trophies


Parsa Beigzadeh's Projects

booki icon booki

Booki is a book recommendation system designed to provide personalized book recommendations based on user preferences and interests. This project utilizes various technologies, including C#, ASP .NET Core, Python, Spacy, Ontology, and knowledge base graphs

booklist icon booklist

In this project, I illustrate and create book list via Asp .core 3.1 and use Razor page for it

bulkybook icon bulkybook

It has been designed for library and it has been created by Asp core 3.1 MVC

cafe icon cafe

this app was written by C# and it is an assistant for cafe and it provide customer club and some features to help owners for manage their cafe.I used N-Layer Architecture for this app and sms panel is provided.

chatbot icon chatbot

The Restaurant Recommendation Chatbot is a Python-based project that utilizes natural language processing (NLP) techniques, TensorFlow, and logistic regression to provide personalized restaurant recommendations. This project aims to assist users in finding suitable dining options based on their preferences and requirements.

coti icon coti

Research project developing a component recommendation system to support software developers in selecting open source libraries and frameworks. Leverages metadata extraction and machine learning techniques to provide personalized component suggestions. Created as part of a university thesis project.

data-mining-algrorithm icon data-mining-algrorithm

This repository contains the implementation of various data mining algorithms using Python. The algorithms included in this project are logistic regression, decision trees, random forest,, and naive Bayes. These algorithms are widely used in data mining and machine learning for classification tasks.

instagramreachanalysis icon instagramreachanalysis

Repo for Instagram analysis: Dive into user trends, engagement metrics, and content performance. Uncover insights to optimize strategies. #DataDriven

odyolov7 icon odyolov7

Object detection using YOLOv7 by Pytorch

prc icon prc

This project about package recommendation system. it focuses on popular package repos.

productrecommendation icon productrecommendation

Product Recommendation System This repository contains the code and resources for a product recommendation system implemented using collaborative filtering techniques. The system provides personalized recommendations to users based on their interactions with products.

seven_segment_digit icon seven_segment_digit

This project focuses on training a deep learning model to detect and classify numbers represented in the form of seven-segment displays. The model is built using TensorFlow and Keras libraries and leverages convolutional neural networks (CNNs) for accurate classification.

spr icon spr

Research project developing a component recommendation system to support software developers in selecting open source libraries and frameworks. Leverages metadata extraction and machine learning techniques to provide personalized component suggestions. Created as part of a university thesis project.

stockprediction icon stockprediction

Explore LSTM-based Apple stock price prediction: leveraging historical data, LSTM networks forecast future trends. Join us to innovate in financial forecasting, empowering informed investment decisions.

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