R ( Data Analysis) Project

This R-Based Portfolio showcases diverse projects that highlight my expertise in data analysis, visualization, statistical modeling, and machine learning using R. The projects demonstrate proficiency in exploratory data analysis, predictive modeling, time series forecasting, clustering, and sentiment analysis, showcasing my ability to handle complex datasets and deliver actionable insights. Key tools and techniques include R libraries like dplyr, ggplot2, and caret for data wrangling, visualization, and modeling, as well as specialized packages for NLP and time series analysis. Through these projects, I have addressed real-world challenges such as customer sentiment analysis, demand forecasting, and targeted marketing, leveraging statistical tests, machine learning algorithms, and interactive dashboards. This portfolio reflects my versatility as a Data Analyst and Data Scientist, with a strong ability to translate raw data into meaningful insights, driving data-informed decision-making and solving complex business problems.