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  • Hi, I am Oumnia 👋

  • 👀 I’m a Machine Learning and Deep Learning enthusiast
  • 💞️ I’m looking to collaborate on ML or NLP (NLTK, TF-IDF, Naïve Bayes, Latent Dirichlet or RNNs) on open source projects
  • 📄 Know about my experiences: Resume
  • 📫 How to reach me : LinkedIn

Technical skills:

  • Data Sourcing & Analysis with NumPy and pandas: Sourcing data from CSV, databases (SQLite) , API (requests) or web (Beautiful Soup). V
  • Visualizing data with seaborn and plotly.
  • Machine Learning with scikit-learn: Pre-processing with transformers & pipeline. Linear & Logistic regression. KNN. SVM. Ensemble methods (decision trees, bagging, boosting, ...).
  • Time series (SARIMA). NLP (NLTK, TF-IDF, Naïve Bayes, Latent Dirichlet)
  • Deep Learning with TensorFlow and Keras: Dense neural networks. CNN for image processing. RNN for time series and NLP (embedding with Word2Vec). GAN for images generation. -Data Engineering: CI with github, CD with Docker and Cloud Run, ML iteration with MLFlow, Scaling training with GCP. Front-end with Streamlit.

Soft skills:

  • fast-learner, autonomous, driven by continuous learning, enthusiastic, cheerful

Projects

ele.GAN.t facades using cGan here

OumniaSdn's Projects

credicardfrauddetection icon credicardfrauddetection

Detect fraudulent credit card transactions using various classification Machine Learning Models with unbalanced data

data-setup icon data-setup

Setup instructions for Le Wagon's students on their first day of Data Science Bootcamp

dotfiles icon dotfiles

Default configuration for Le Wagon's students

ecg_classification_rnn_cnn icon ecg_classification_rnn_cnn

Creation of a model able to classify ECG (heart beats) into 5 classes from Normal ones to beats that cannot be classified at all.

fakenewsnlp icon fakenewsnlp

Build a model to accurately classify a piece of news as REAL or FAKE

predicting-blood-donations-tpot icon predicting-blood-donations-tpot

predict whether or not a donor will give blood the next time the vehicle comes to campus with one of the poweful automated models TPOT

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