• Development of a serverless AWS data platform with Terraform • Creation of an ETL data pipeline using AWS Glue and Spark • Creation of a NLP deep learning algorithm on Python (Tensorflow) using Recurrent Neural Networks (RNN) in order to perform a sentimental analysis of the Ethereum blockchain users • Deployment of the deep learning model using AWS Lambda and Docker • Delivered dashboards using PowerBI to evaluate the influence of the users sentiments on the stocks value

• Creation of an unsupervised machine learning algorithm using KNN classifier for outliers detection on astronomical images • Delivered analytics using Python Seaborn and Pandas to determine which part of the telescope would be more prone to errors