Firdaouss Nadif
Senior Data Scientist @ DXC Technology
About
Hi, I'm a Data Enthusiast & I help businesses turn raw data into meaningful insights! 📈
Morocco
Casablanca Metropolitan Area
Information Technology & Services
Machine learning, Python, Predictive Modeling, GPT-3.5, GPT-3, OpenAI, BERT, Topic Modeling, NLTK, Natural Language Processing (NLP), spaCy, GPT, FastAPI, Scikit-Learn, Dash, Deep Learning, Plotly, Matplotlib, PostgreSQL, Hadoop
Experience

Mentor
Morocco
Representing DigiGirlz ENSET Mohammedia team as a Mentor at DigiGirlz Mentorship Program on his 2021 edition. The program aims to involve girls more in STEM fields and help them take the lead to solve real problems in their community through technology. In partnership with Anoual Association, United States (US) Embassy of Morocco, Microsoft, Lblane and 2M TV. Our team project MyGuide won the Second Place in the National Competition 🏆 of DigiGirlz Mentorship Program. MyGuide is a mobile application based on Artificial Intelligence AI and Machine Learning, it guides students in their academic careers by providing personalized content that matches each user differently, depending on many inputs criteria such as personality tests and the student’s interests… Our main goal is to help students get adequate orientation in their studies and achieve 2 Sustainable Development Goals: Quality Education and Economic Growth.

Data Scientist
Built an intelligent web platform based on supervised Machine Learning algorithms for the prediction of tests carried out on PVC Compound formulas (i.e. plastic with chemical additives) in terms of cost and characteristics requested by customers. Tools : Flask, Jupyter Notebook, Python libraries ( Pandas, Scikit Learn, Numpy, PyCaret ) Classification models ( Random Forest Classifier) , Regression models ( Random Forest Regressor, Extra Trees Regressor ), Data Visualisation ( Matplotlib, Seaborn, Plotly ), Cross Validation

Data Scientist
FITCO
Casablanca - Morocco
Implementation of a Machine Learning solution for the prediction of employee turnover (turnover) using supervised machine learning and visualization of results. Keywords : Python, Python libraries: Pandas, Scikit-learn, Numpy, Seaborn, Plotly, Matplotlib. Random Forest Classifier Model, Model training, Data Visualization, Tableau, Jupyter Notebook.
Education

Computer Science Engineering, Big Data and Cloud Computing (II-BDCC)
Awareness campaign dedicated to mental health in universities - Sometimes all it takes is one gesture to inspire others. This hope is the fuel of a column that gives pride of place to dedicated men and women involved in improving the lives of others.
Firdaouss Nadif's Contact Information
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