IRONHACK BERLIN (Intensive Data Analytics Bootcamp) Berlin
Aug 2022 - Oct 2022
- Methodologies used: E2E Analysis, Data Mining (APIs, Web Scraping), Data Visualization, Data Pipelines, Statistics, Business Intelligence, Supervised and Unsupervised Machine Learning
- Final Project: Conversion Prediction
Developed a supervised ML model(Random Forest with Hyperparameter Tuning) to predict If a bank customer would subscribe a term deposit. Obtained a model with 0.89 Accuracy and 0.88 Recall on Test Set.
- Mid-Term Project: Target parameter prediction of a bioscientific device based on geometrical features Collaborated with a partner and developed a Linear Regression model by using key selected production parameters. Obtained a model with R2 = 0.80 and RMSE = 23.21