As a financial engineer, I bring together specialized quant skills and a passion for data analytics. I honed my mathematical and coding competencies through an undergraduate civil engineering program at IIT Kanpur before expanding into finance at UCLA's Master of Financial Engineering program. I have proven success spearheading complex data projects with real-world impact at BlackRock. As a BlackRock Associate, I conducted multifactor risk analysis leveraging Aladdin and delivered breakthrough automation solutions to increase efficiency for investment teams. My research at Yale involved applying machine learning techniques like transfer learning for image classification problems. With complementary coursework, certifications, and hands-on skills in Python, data science, and machine learning, I am equipped to take on pressing challenges in diverse financial domains. My background enables me to bridge technical depth and business perspectives through strong communication abilities. I am eager to leverage my analytical excellence, creative problem-solving skills, and continuing education to advance innovation for firms focused on investment management, trading strategies, or risk analytics. My foundation provides unique value to identify, design, and implement data-driven solutions.
Listed skills include Python, Microsoft Office, Unity3D, Data Analysis, and 5 others.