* Developed a sentiment analysis model for movie reviews by manipulating non-traditional data, performing preprocessing, normalization, and TF-IDF vectorization. Tokenized the reviews and trained a custom word embedding using Word2Vec.* Achieved an 81% accuracy and an 89% ROC in detecting positive and negative opinions.* Developed a Machine Learning model for vehicle classification by training and evaluating different models, including Multi-layer Perceptron, LeNet, and ResNet50, on a pre-built dataset of 196 classes. * Achieved an 83% accuracy in predicting the type of car in images, with ResNet50 performing the best.* Developed a Machine Learning API system that receives images, predicts their content using the ResNet50 convolutional neural network model, and achieves a 93% prediction score. Implemented API endpoints, utilized a Redis database, and built the system with Docker and Docker Compose. Conducted stress tests with Locust to assess API capabilities and limits.* Developed a credit risk scoring model by obtaining and analyzing data using specialized libraries (Matplotlib/Seaborn). Preprocessed the data through feature selection, outlier detection/handling, feature imputation/normalization/standardization, and categorical feature encoding. Created a baseline model using randomized search and cross-validation techniques with Scikit-learn in Python, achieving a training ROC AUC score of 74% and a validation score of 70%.* Built an ELT Data Pipeline for e-commerce data from 2016-2018: obtained information from CSV files and APIs, stored it in a database, loaded it into a data warehouse, created SQL queries to extract new data by linking tables, and analyzed the relationship between holidays and purchase order dates using Python and visualization libraries (Matplotlib/Seaborn).

Responsible of Digital Solutions pre-sales on Mexico. In charge of technical business meetings, to validate technical RFP CGI responses, including to validate economic proposals with executive directors.

Technical Project Management on large scale and international projects. Agile, cascade and hybrid methodologies. I also had experience as the CGI's digital signature Product Owner during this period.

IBM Watson Lead Developer, Presales Software Developer and Trainer on Watson Explorer On Premise and Cloud. Analysis on the design of Hybrid Architectures. Experience on IBM software on premise and cloud products.

Experience as developer to build valuable impact cognitive applications with Watson Explorer and Watson Cloud APIs on different industries such as health, goverment, investigation and transportation.

Responsible for collecting client requirements, documentate processes, propose valuable solutions and develop web application product increments. Use of LAMP Architecture, implemented web fronts using Javascript and JQuery.