I am a data science consultant and analytics lead at Carlson Analytics Lab. In this role, I oversaw feature engineering, code review, and project explanations for our clients. Collaborating with a diverse team, I transform raw business requirements into actionable tasks, ensuring technical robustness and alignment with client objectives. Previously, I accrued approximately 2.5 years of experience as a data scientist at Altimetrik, where I focused on developing a generalized machine learning pipeline with an emphasis on interpretability. I also crafted forecasting and time series analysis modules for various business scenarios, enhancing demand forecasting accuracy and efficiency by 15% through the application of ARIMA, SARIMAX, and AWS DeepAR. I am dedicated to leveraging data and analytics to address real-world challenges. Holding a bachelor's degree in computer engineering and AWS certification in machine learning specialty, I am particularly interested in exploring the practical applications of time series analysis, forecasting, NLP, and data visualization. Additionally, I have demonstrated my abilities in equity price action trading and also achieved recognition as a finalist at the Analytics for Good Institute Hackathon 2024 and the 9th CSI-InApp National Project Awards 2020. Eager to utilize my skill set and passion for creating business value, I am actively seeking full-time opportunities in data science, data analytics, and data engineering. (PS - I am not in a position to provide any referrals; however, I will more than glad to help you answer other questions.)