This software was designed with the purpose of anomaly detection and correction for time series water sensor data. This software was developed using the Logan River Observatory data set.

• UpdatedApr 4, 2023
• HTML

This repository introduces some basics on time series. It also presents ARIMA models and its variants as well as the Facebook Prophet forecasting model.

• UpdatedDec 10, 2021
• Jupyter Notebook

The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.

• UpdatedMar 2, 2023
• Jupyter Notebook

Empirical analysis with financial data (MSFT stock returns) in R, with the goal to produce useful forecasts using univariate, multivariate time series models and volatility models.

• UpdatedJun 21, 2021
• R

• UpdatedMay 9, 2021
• Jupyter Notebook

Tesla Stock Price Prediction using the techniques like Feature Extraction, Feature Importance, ARIMA, SARIMAX, Fourier Transform. Forecasting the future price of the Tesla Stock Price.

• UpdatedNov 29, 2022
• Jupyter Notebook

forecasting electricity demand for the next 1-2 years using historical monthly consumption data and various forecasting models.

• UpdatedJul 6, 2023
• Jupyter Notebook

TimeSeries Analysis-TimeSeries Forecasting-Exponential Smoothing-Arima-Mape Evaluation-Insight Business

• UpdatedJul 25, 2022
• Jupyter Notebook

Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits

• UpdatedFeb 9, 2022
• Jupyter Notebook

A demand forecasting model for an E-Commerce retailer, built using KPIs from Google Analytics & implemented in RStudio. Models: time-series, ARIMA, Regression (multivariate & dynamic). Open-source & contributions welcome.

• UpdatedFeb 7, 2023
• R

Kaggle challenge asking to predict 3 months of sales for 50 different items at 10 different stores based on the past.

• UpdatedMar 5, 2019
• Jupyter Notebook

Forecasting quarterly data of US GDP from the FRED-QD dataset.

• UpdatedDec 20, 2023
• MATLAB

• UpdatedAug 7, 2021
• Jupyter Notebook

Database management and data analytics from a car-sharing dataset. The dataset contains information about the customers' demand rate between January 2017 and August 2018.

• UpdatedJan 7, 2023
• Python

This is a release of data and analysis scripts of the "Associations of inclement weather and poor air quality with non-motorized trail volumes" paper published in Transportation Research Part D.

• UpdatedJan 2, 2023
• R

Arima con restricciones

• UpdatedNov 4, 2021
• Jupyter Notebook

This is my portfolio.

• UpdatedJun 23, 2024
• Jupyter Notebook

A multivariate time series forecasting of pollution data using ARIMA, LM & ARIMAX in R

• UpdatedJul 11, 2022
• R

This repository contains a research paper I completed for my Time Series Econometrics class.

• UpdatedJun 18, 2023
• Stata

Code for the Lancet Digital Health manuscript

• UpdatedJul 28, 2023
• R