Responsibilities: Time series forecasting using ML models and Deep Learning models such as Prophet from Meta and TFT from PyTorch to forecast cloud computing consumption in order to reduce and optimize costs associated with cloud consumption in AWS and GCP.

Developed and deployed a Machine Learning model that generated $1.4M in savings for a year in cloud computing costs.

Responsibilities: RPA development using Python that includes web scraping, data mining and data manipulation with other tools such as SQL, MongoDB and Pandas.

Responsibilities: Data mining and exploratory data analysis on multiple types of data for a research project in land restitution in Colombia. Web scraping on multiple websites and database construction using Python and data manipulation libraries. Natural Language Processing, POS tagging and exploratory data analysis on large texts about land restitution ruling.