Welcome to my data-driven journey!I began my professional career as a software programmer, fueled by a passion for coding and problem-solving. My path took a transformative turn when I discovered data science, where I found the opportunity to leverage my programming skills to extract meaningful insights from data.While pursuing my Ph.D. in Data Science, I focused my dissertation on statistical inference for recommender system evaluation experiments. This research led to significant contributions in evidence-based best practices for statistical inference in recommendation system experiments. My work ignited a deep interest in experimental design and causal inference, moving beyond predictive analysis to uncover the underlying causes of correlations between variables.I am proficient in statistical modeling, machine learning, SQL, R, and Python, and I continually seek to expand my skill set by exploring new concepts and methodologies. My commitment to ongoing research ensures that I bring the latest strategies to every project.I’m eager to connect with others who share a passion for leveraging statistical analysis, machine learning, and experimentation to solve complex problems. Whether it’s discussing innovative projects or collaborating on research, I welcome the opportunity to engage and explore this exciting field together.