Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.

Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon

MSc thesis about sales forecasting in high-dimensional contexts taking into account product relationships and promotions

SMU ECON248 "Financial Market and Monetary Policy" project. A Vector Autoregression (VAR) model was used to evaluate the use of exchange rate as monetary policy to achieve Economic Growth and Price Stability in Vietnam. Data obtained from SEIC database.

Modelling data using the VaR

Codebase for Term Paper of course ECON F244: Economics of Growth and Development at BITS Pilani, Pilani campus (Spring '21)

Masters Thesis Project on Media Prejudice

Detailed implementation of various time series analysis models and concepts on real datasets.

Generate time-series data using VAR model parameters (AI@UW engr-stocks group)

Forecasting COVID-19 Cases

Our Healthcare Inventory Forecasting solution uses AI-driven models to optimize inventory, reduce stockouts, and prevent overstocking in healthcare. It integrates data from sales and market trends, using ARIMA and VAR models for precise demand forecasting. With automation from OpenAI, Power BI visualizations, and chatbot support, the system enhanc

Estimação de modelos VAR(3) e VAR(10) para 91 países no período de 1960 a 2019, a fim de testar a causalidade de Granger entre as variáveis de Poupança Interna Bruta e crescimento do Produto Interno Bruto per capita.