I am a highly skilled Data Scientist proficient in R and Python, specializing in statistical and machine learning models for time series forecasting. My expertise includes feature selection, hyperparameter optimization, and anomaly detection, particularly in banking transactions. I excel in uncovering actionable insights through exploratory data analysis and have a strong background in presenting findings to drive data-driven decision-making. Additionally, I am dedicated to mentoring junior data scientists and staying abreast of the latest advancements in the field.