Nicolas Mengochea Email & Phone Number

• Full-time intensive program for talent training in Machine Learning (acceptance rate <2%).In-depth development of several projects:
• Image Classification for E-commerce: applied transfer-learning over ResNet50 CNN to create a model capable of classifying 196 different car classes, using a very small dataset for pre-processing, augmentation and.
• Image Classification for E-commerce: applied transfer-learning over ResNet50 CNN to create a model capable of classifying 196 different car classes, using a very small dataset for pre-processing, augmentation and.
• Sentiment analysis of movie reviews: manipulated data that is not in a traditional format, pre-processed it, vectorized text data using BoW and TF-IDF. Trained a word embedding and used it as a vectorization source for.
• Home Credit Risk Analysis: predicted whether a person applying for a home credit will be able to repay its debt or not. Manipulated and visualized data, and performed data pre-processing for a large dataset of +350,000.
• Salary Prediction Model: The goal was to predict salary levels based on historical data for sports players. Collected and analyzed data via an API using Python and Pandas. The original data was unbalanced. Cleaned up.

Strategic planning for the whole lifecycle of a large category of products.Achieved a raise of 10% in Net profits of the last category I had in charge, achieved by proper sales forecasting, purchasing and stock control, optimum product mix, and measured discount schedules.This accurate decision-making was possible by the improvement of data gathering.

Direct report to the Marketing Director. Analysis, control, and creation of KPIs and Sales Dashboards. Communication of economic and performance reports to foreign clients. Soft Skills: innovation, communication, adaptation to change. Hard Skills: Excel: macros, charts, dashboards.

Industrial Engineering, Business Administration

Machine Learning Engineer