I am a seasoned professional with over five years of experience applying machine learning algorithms and data science principles to build predictive models and solve real-world problems. With an academic background in mechanical engineering, I began my career in financial risk management, where I developed a strong foundation in analytical thinking and evidence-based decision making. This experience deepened my passion for uncovering insights from data and led to my transition into data science. I’m particularly drawn to work that combines strategic thinking with advanced analytics to drive meaningful outcomes. As I continue to grow in the field, my goal is to keep leading data initiatives that fuel strategic innovation in business, address meaningful societal challenges, and advance analytics as a powerful tool for insight and positive change.
