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@abeeraz379
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ABeer AZ abeeraz379

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ML & DL Engineer |Data Scientist | Data Analytics

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abeeraz379 /README.md

Hi, I am ABeer 👾❄️

AI & Machine Learning Engineer | CSE Graduate (Honors, GPA 3.7/4.0) Combines deep theoretical expertise in NLP and Generative AI with hands-on application in full-lifecycle ML, Computer Vision, and Data Analytics using Python and SQL.

  • NLP & Generative AI: Built custom LLM Transformer architectures (multi-head attention, tokenization, autoregressive sampling) from scratch in PyTorch.

  • Deep Learning & Computer Vision: Engineered high-performing CNNs/ANNs in TensorFlow/Keras, leveraging transfer learning to reach 99%+ accuracy.

  • Machine Learning & Analytics: Skilled in supervised/unsupervised learning (KMeans, anomaly detection), EDA, and tuning high-performance models (XGBoost, CatBoost, LightGBM) on large-scale datasets (600K+ samples).

  • Data Tools & BI: Proficient with Pandas, NumPy, Power BI, Excel, and visualization tools (Plotly, Seaborn) to turn complex data into actionable insights.

Connect with Me

Send me an email / [LinkedIn] / [Kaggle]

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  1. Arabic-Handwritten-Digits-Dataset Arabic-Handwritten-Digits-Dataset Public

    The MADBase is modified Arabic handwritten digits database contains 60,000 training images, and 10,000 test images. MADBase were written by 700 writers. Each writer wrote each digit (from 0 -9) ten...

    Jupyter Notebook 1

  2. Adult-income-prediction Adult-income-prediction Public

    An individual’s annual income results from various factors. Intuitively, it is influenced by the individual’s education level, age, gender, occupation, and etc.

    Jupyter Notebook 1

  3. Predicting-Irrigation-Need Predicting-Irrigation-Need Public

    A supervised machine learning project that predicts irrigation needs using multi-class classification techniques. The model is trained on a synthetic dataset (630,000 samples) generated from a deep...

    Jupyter Notebook

  4. Prediction-of-Product-sales Prediction-of-Product-sales Public

    This project analyzes the Big Mart Sales dataset through a full data science pipeline: data cleaning, exploratory data analysis (EDA), and predictive modeling. The goal is to uncover patterns in pr...

    Jupyter Notebook 1

  5. california_housing california_housing Public

    The goal of this project is to build a machine learning model using a Neural Network to predict housing prices in California based on several input features such as location, income, and housing ch...

    Jupyter Notebook

  6. Predicting-F1-Pit-Stops Predicting-F1-Pit-Stops Public

    Jupyter Notebook 1

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