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MelikaaS/README.md

Hi there, I'm Melika Sanei 👋

I'm an AI Engineer in progress with a background in Machine Learning and a Master's degree in Artificial Intelligence.

I'm currently strengthening my Python skills and building practical projects in Web Scraping, APIs, FastAPI, and Large Language Model (LLM) applications.

My goal is to become an AI Engineer focused on developing real-world AI and LLM-powered applications.

🚀 What I'm Working On

  • Building Python projects
  • Learning Web Scraping and APIs
  • Studying FastAPI
  • Preparing for LLM and RAG development
  • Expanding my Git & GitHub portfolio

🌱 Currently Learning

  • Python
  • Web Scraping
  • REST APIs
  • FastAPI
  • Git & GitHub
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)

🛠 Technologies & Tools

  • Python
  • Git
  • GitHub
  • BeautifulSoup
  • Requests
  • CSV
  • JSON
  • Scikit-learn
  • NumPy
  • Pandas

📫 How to Reach Me

📧 sanei.melika@gmail.com

⚡ Fun Facts

  • I enjoy turning ideas into practical AI applications.
  • I believe the best way to learn AI is by building real projects.

Pinned Loading

  1. K-means-Clustering-with-Python K-means-Clustering-with-Python Public

    This repository contains code for K-Means Clustering in Python, based on the work from the following Kaggle notebook: [K-Means Clustering with Python by prashant111](https://www.kaggle.com/code/pra…

    Jupyter Notebook 4

  2. LDA_Classification LDA_Classification Public

    This repository focuses on implementing Linear Discriminant Analysis (LDA) as a classifier on embedded scikit-learn datasets. The goal is to improve the model's performance on these datasets.

    Jupyter Notebook 6 1

  3. Random_Forest Random_Forest Public

    In this repository I will implement random forest method

    Jupyter Notebook 2