A DataFest project to analyze the non-medical use of prescription drugs in Germany.
Applied time series technology to predict the berry yield in the next 10 weeks.
Constructed a dashboard about COVID-19, its economic influence and the potential dietary method to prevent it.
Applied machine learning models to predict the price of Airbnb listing places in Buenos Aires.
Explored doctorate-granting institutions and doctorate recipients in the US using plotly, dash, Chart Studio and Streamlit.
Detected fraudulent agents in financial payment services based on binary classification models.
Established a SQLite3 schema to store Spotify dataset following database normalization 1NF, 2NF and 3NF.
Visualization of Malaria to explore its spread and severity using Python.
Constructed movie recommendation systems based on Netflix datasets.
Construction of a Python package to efficiently implement Stochastic Gradient Hamiltonian Monte Carlo algorithm.