Hello,

Welcome to my Data Science Project page 🚀

Graduated from the ECAM EPMI Engineering School in Information Systems Management in 2018, I specialized in Data Science through the VIVADATA Full Stack Data Science bootcamp because I like to give meaning to data and see how they impact reality.

I realized several projects in Machine Learning / Deep Learning based on various challenges (Kaggle, University of Oxford...) that you will find here.

I write this Python script data_scientist_projects.py to generate my projects description.

python data_scientist_projects.py

In 2020, I participated on Deep Learning with PyTorch: Zero to GANs course because to become a good Data Scientist, I have to aware of the technological changement. So, I decided to learn more and do projects with PyTorch : - Insurance Cost Predictions Source : Kaggle Challenge : Medical Cost Personal Datasets

• 🎙 Voice Recognition : Recognize celebrity speakers from any speech.

Source : University of Oxford : VoxCeleb Speaker Recognition Challenge (VoxSRC)

• 💳 Credit card fraud detection : identify fraudulent credit card transactions

Source : Kaggle Challenge : Credit card fraud detection

• 💬 Quora Insincere Questions Classification : detect toxic content to improve online conversations

Source : Kaggle Challenge : Quora insincere questions

• 🛰 Telcom Customer Churn : develop focused customer retention programs

Source : Kaggle Challenge : Telco Customer Churn

• Jennifer LENCLUME - Data Scientist -

For more informations, you can contact me :

LinkedIn : LinkedIn profile

Jovian : Jovian profile

Email : [email protected]

• Python
• Data Visualization :
  • Matplotlib
  • Seaborn
• Exploration Data Analysis
  • Pandas
• Data Cleaning
• Audio Treatment :
  • Librosa
• Natural Language Processing
  • NLTK
• Sentiment Analysis :
  • TextBlob
• Word Embedding :
  • Glove
• Topic Modelling :
  • Gensim
• Machine Learning :
  • Scikit-Learn
  • PyTorch
• Deep Learning :
  • Tensorflow
  • Keras
  • PyTorch
• GPU :
  • Google Colab
  • Jovian