Ataúlfo Antón

Data Scientist | Railway Connection Service Assistant Project Manager – Reprogramming and optimization (Python) of CAPAX, a service modeling tool used to test rail transport plans in terms of turnover and traffic, to help with decision-making. – Improvement of the CAPAX microeconomic model and development of new tool functionalities. – Processing of massive railway data; modeling of study scenarios, analysis and interpretation of results used for the construction of the TGV/Intercités transport plan.

Involved in 7 different professional projects encompassing the necessary skills of any data scientist/machine learning engineer: – Data manipulation (Python, Numpy, Pandas, Matplotlib, Seaborn) – Data preprocessing (encoding, feature engineering...) – Supervised algorithms (random forests, bagging, boosting, MLP...) – Unsupervised algorithms (k-means, DBSCAN, agglomerative clustering, Gaussian mixture...) – Model optimization (GridSearchCV, Bayesian optimization, scoring, imbalance data handling) – Dimensionality reduction (PCA, t-SNE...) – NLP (BOW, TF-IDF, word2vec, BERT) – Image classification (VGG16, Xception, ResNet, EfficientNet...) – Dashboard creation (Dash/Flask) – Big Data (AWS EMR, S3, EC2; Spark)

Courses lectured: – Introduction to Programming in C++ – Oriented Object Programming in C++ – Computer Algebra in Python – Mathematics for Economics & Management

– Participated in the launching of the Eastern European activities of the brand in Germany, Austria, Hungary, and Russia – Responsible of logistics, technical support, and stock management – Customer relationship and team management

Courses lectured: – Introduction to Linear Algebra – Numerical Analysis – Introduction to CAS – Finite Probability and Combinatorics

– Conceptual work in order to algorithmize an industrial issue – Matlab coding. Developments and tests on real data – Development of a photogrammetry measure utility – Signal processing with OpenCV and Matlab