As an aspiring Quant, I am dedicated to leveraging my in-depth knowledge across five critical fields: Finance, Mathematics, Statistics, Data Science, and Programming and I have been developing my expertise in these fields for over 7 years. Currently, I am pioneering algorithm optimization at LogiNext, where I develop advanced map routing algorithms to solve complex vehicle routing problems. My technical proficiency spans Python, Java, and comprehensive database management with MongoDB and PostgreSQL.I hold a Master’s in Financial Engineering from WorldQuant University and am pursuing further studies in Computer Science at Georgia Institute of Technology. My academic and professional journey is driven by a passion for applying machine learning and data science to generate quantifiable impacts in the financial sector.At Versor Investments, I contributed to the ESG Merger Strategy and trading systems, demonstrating my ability to translate intricate challenges into actionable, data-driven solutions. My work reflects a commitment to innovation and excellence, essential qualities for thriving in high-stakes environments.I thrive in collaborative settings, aiming to push the boundaries of quantitative finance. My goal is to combine technical expertise with strategic insight to drive meaningful outcomes and sustainable progress in the ever-evolving landscape of hedge funds and prop trading firms.
Listed skills include Software Development, Java, Strategic Planning, Sql, and 42 others.