Katrin D.

Education:

• Ecole Polytechnique- Master in Data Science for Business [X-HEC]

• HEC Paris (Ecole des Hautes Etudes Commerciales) Master in Management Grande Ecole (MiM) with HEC Foundation merit-based scholarship

Kaggle-like competitions:

• Machine learning: Implemented a supervised learning solution for US inter-city air passenger traffic prediction (top 10%)
o Advanced feature engineering and modeling (Gradient Boosting regression, Random forest, LightGBM)
• Machine learning: Built a classification algorithm to find the part of electric consumption dedicated to 4 appliances (top 15%)
o Advanced feature engineering and modeling (Gradient Boosting classification, RNN)
• Deep learning: Created neural networks (FNN and CNN) for digit and image recognition (top 12%)
o Trained neural network with Pytorch and Keras

Programming:

Python (pandas, numpy, sklearn, Matplotlib, Tensorflow, Keras,), R (dplyr, ggplot, MASS, rvest), GitHub

Technical skills:

Machine learning, deep learning, statistics, regression, data analysis