Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Projects of Business Analyst Nanodegree Program

R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.

Enhancing Decision Making and Prediction Optimization using the HybridFlow Forecast Model

Time series forecasts using Uber's Orbit model and Facebook's Prophet

Time Series Forecasting: City and Resort Hotels Bookings forecasting

Repo for a study project in Forecasting in R during my Masters Degree in Data Science.

This repository contains a tutorial to replicate the results of the published paper Spatial Beta-Convergence Forecasting Models: Evidence from Municipal Homicide Rates in Colombia

Time Series Forecasting Methods to forecast Daily Post Publications on Medium

A forecasting system for multiple sectors that uses ARIMA, ETS, SVR, and other models displayed on a user friendly interface with different viewing options.

Udacity - Predictive Analysis for Business Projects

Forecasting projects for Econ 144 (Time Series Analysis & Forecasting) at UCLA, Spring 2023

Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.