Madison Hazard
About Madison Hazard
Madison Hazard is a Machine Learning Engineer at QuantCo in San Francisco, California, with a background in Mathematics and Computer Science from Dartmouth College.
Current Role at QuantCo
Madison Hazard works as a Machine Learning Engineer at QuantCo in San Francisco, California. In her role, she focuses on developing machine learning models aimed at optimizing pricing strategies. She leverages her expertise to refine and implement complex algorithms that drive decision-making processes, ensuring that the company's products and services remain competitive and efficient.
Past Internships
Madison Hazard has amassed substantial experience through various internships. She worked as a Portfolio Implementation Intern at AQR Capital Management in Greenwich, Connecticut, for two months in 2019. In 2018, she was a Software Development Intern at Tesla in Palo Alto, California, for three months. Additionally, she's had multiple roles at Dartmouth College, including a James O. Freedman Presidential Scholar and an Undergraduate Research Assistant, both for two months in 2018. Her early experience includes a one-year stint as a Technical Intern at Sandia National Laboratories in Albuquerque, New Mexico, from 2015 to 2016.
Educational Background
Madison Hazard holds a Bachelor of Arts in Mathematics and Computer Science from Dartmouth College, where she studied from 2016 to 2020. Her academic background laid a solid foundation for her expertise in machine learning and data science, enabling her to tackle complex problems in her professional endeavors.
Industry Contributions and Research
Madison Hazard has made significant contributions to the field of machine learning and finance. She has co-authored a research paper on predictive analytics that was published in a peer-reviewed journal. Additionally, she presented a talk on machine learning applications in finance at the 2022 AI in Finance Summit, sharing her insights and experiences with a broader audience.
Volunteer Work and Certifications
Madison Hazard is dedicated to giving back to the community and fostering diversity in tech. She volunteers as a mentor for the Women in Machine Learning and Data Science (WiMLDS) organization. To further her expertise, she has obtained a certification in Deep Learning Specialization from Coursera, underscoring her commitment to continuous learning and professional growth.