December 1, 2020

Project 6: Forecasting Industry Gross Revenue (Time Series Analysis)

In this project I tried to create a Time Series Model to learn the patterns of a series of Gross Revenue from the brazilian industry, from 2005 to 2020, in order to forecast this series along future time steps. Approaches: SARIMA Model: using Box & Jenkins Methodology, testing endogenous features as well. LSTM Model: using the same features as before, even first and second differentiation of the series.

November 13, 2020

Project 5: A Social Network Analysis on my Personal Life

This is the second part of an old project that I recently replicated in Python, it was presented as my Conclusion Work of my Post-Graduation at FIA School. This study is focused on my Facebook friends data and their friendship connections, collected through Facebook Netvizz App. This app treats json returns from Facebook Graph API, and formats in two files of nodes (friends) and edges (friendship relations). I used the Python package Networkx to detect communities based on nodes relationships and to compute centrality measures, in order to understand patterns on detected communities and identify aspects of leadership and popularity in my personal friends.

October 5, 2020

Project 4: Dimension Reduction and Clustering on Facebook Friends and their Music Page Likes.

This is an old project that I recently replicated in Python. This study is focused on my Facebook friends data, collected through Facebook Graph API. I collected my list of friends and the list of music pages each of them liked. I treated the json data to structure the data in a matrix format with shape n X m, where n is the number of user friends and m is the number of music pages.