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I may be slow to respond.
13 followers · 10 following

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Achievement: Pull Shark
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Achievement: Pull Shark
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@project-DataBase-FCIH
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jamal022/README.md

💫 About Me:

Ambitious and motivated junior professional passionate about both Machine Learning Engineering and DataScience. Seeking an opportunity to contribute to challenging projects, gain hands-on experience, and furtherdevelop skills in developing AI models, analyzing data, and deriving valuable insights. Committed to continuouslearning, growth, and making a meaningful impact in the field as a junior Machine Learning Engineer and DataScientist.

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python AWS Anaconda Flask Apache Airflow MySQL Postgres Keras NumPy Pandas Plotly scikit-learn SciPy TensorFlow Docker GIT

📊 GitHub Stats:


🏆 GitHub Trophies

Pinned

  1. automatic-number-plate-recognition-Speed-Estimation automatic-number-plate-recognition-Speed-Estimation Public

    Forked from computervisioneng/automatic-number-plate-recognition-python-yolov8

    This GitHub repository features an efficient project for Automatic License Plate Detection (ALPR) and Speed Estimation. Utilizing YOLOv8, SORT, and EasyOCR, the project achieves accurate results in…

    Python 1 1

  2. Brain-MRI Brain-MRI Public

    The App is used to detect the brain tumor using CNN with accuracy 90%. The model take a MRI image and classify if there is a tumor or no and in case there is a tumor it classify the type of it (eg.…

    Jupyter Notebook 1

  3. -Object-Detection-Yolo-Flask -Object-Detection-Yolo-Flask Public

    Jupyter Notebook

  4. Fake-News-Prediction-Using-NLP Fake-News-Prediction-Using-NLP Public

    Here in this project worked on prediction of fake news using some NLP techniques

    Jupyter Notebook

  5. Louvre-Museum-Guide Louvre-Museum-Guide Public

    Gathered and transformed Louvre Museum data into engaging, interactive content using fine-tuned GPT-2. Accessible through a Flask-based platform for an immersive experience.

    Jupyter Notebook

  6. sos_app sos_app Public

    SOS (Save our Skin) is a mobile app that detects burn degrees using a TF-Lite deployed MobileNetV2 neural network. It generates reports, recommends nearby doctors, enables doctor-patient chat, and…

    Dart