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Data Alchemist 🔮✨
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Data Alchemist 🔮✨

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MaryamAli-2020/README.md

💻 Hello, I'm Maryam! 👋

🚀 Full-Stack Developer | Data Scientist | AI Enthusiast

Welcome to my GitHub profile! I'm a passionate programmer who loves building cool stuff with code. Here's a little about me:

🔧 Technologies & Tools

Languages & Frameworks

Python React JavaScript HTML5 CSS3 TensorFlow

Databases & Cloud

MongoDB SQL Docker Supabase

Data & Visualization

PowerBI Excel Matplotlib Plotly

🤖 Machine Learning & Deep Learning Skills

🔹 Machine Learning Frameworks

Scikit-Learn
XGBoost
LightGBM
CatBoost

🔹 Deep Learning & Neural Networks

TensorFlow
Keras
PyTorch
OpenCV

🔹 Natural Language Processing (NLP)

NLTK
spaCy
HuggingFace
Transformers

🔹 Model Deployment & MLOps

FastAPI
Flask
ONNX
MLflow

🔹 Big Data & Distributed Computing

PySpark
Dask

🚀 What I Do

  • Web Development: Building responsive and dynamic web apps.
  • Data Science: Analyzing data, creating visualizations, and predictive models.
  • Machine Learning & NLP: Developing AI-powered solutions.
  • Automation & DevOps: Streamlining workflows with Docker and CI/CD.

Top Languages

📫 Let's Connect!

LinkedIn Portfolio

Fun Fact: I love automating boring tasks and turning coffee into code! ☕💻


Pinned Loading

  1. Analyzing-Flight-Delays-and-Cancellations-to-Identify-Airlines-with-Optimal-On-Time-Performance Analyzing-Flight-Delays-and-Cancellations-to-Identify-Airlines-with-Optimal-On-Time-Performance Public

    The report explores flight delays and cancellations using Kaggle's 2015 dataset, employing advanced models like XGBoost, LightGBM, and CatBoost. It discusses objectives, data understanding, ETL pro…

    Jupyter Notebook

  2. Big-Data-Analysis-of-Household-Energy-Consumption-for-Climate-Change-Mitigation Big-Data-Analysis-of-Household-Energy-Consumption-for-Climate-Change-Mitigation Public

    This study examines energy usage patterns in households using data analytics. It utilizes smart meter data from 5,567 London residences to analyze consumption trends, correlate with ACORN classific…

    Jupyter Notebook

  3. House-Prices-Advanced-Regression-Techniques House-Prices-Advanced-Regression-Techniques Public

    This report analyzes a sales dataset, covering EDA, data cleaning, feature engineering, regression modeling, ensembling, and result evaluation. It aims to extract insights, optimize sales strategi…

    Jupyter Notebook

  4. Obesity-Prediction-using-DL Obesity-Prediction-using-DL Public

    The high prevalence of obesity around the world has been a major concern globally! In this report will be creating a neural network algorithm that performs its best to detect the occurrence of obes…