Rohan Uppal
Data Science Intern | Data Scientist
Professional Overview
Rohan Uppal is a rising data science professional with a diverse background spanning quantitative analysis, risk management, and corporate banking. Currently serving as a Data Science Intern and Data Scientist at Prospect33, he leverages his expertise in artificial intelligence, machine learning, and quantitative research to drive impactful data-driven solutions.
Experience Summary
Current Role
As a Data Science Intern and Data Scientist at Prospect33, Rohan is responsible for developing innovative AI and machine learning models to support the firm's global data research initiatives. He collaborates closely with cross-functional teams to identify, analyze, and extract valuable insights from complex datasets, contributing to the company's competitive edge in the market.
Career Progression
Prior to his current role, Rohan gained valuable experience as a Quantitative Analyst in the asset management and FX trading domains, where he designed and implemented systematic trading strategies for a family office. He has also held positions as a Quantitative Research Intern at GoodMine, where he leveraged AI and quantitative analysis to drive business insights, and as a Senior Risk Analyst at Xceedance and Analyst at AXA XL, where he specialized in catastrophe modeling and risk assessment.
Rohan's early career includes a role as a Relationship Manager in Corporate Banking at Standard Chartered Bank, where he honed his client-facing and business development skills.
Academic Background
Rohan holds a Master's degree in Quantitative Finance from a leading university, where he specialized in financial engineering and computational methods. His strong academic background, combined with his practical experience, has enabled him to develop a well-rounded skill set in data science, quantitative analysis, and problem-solving.
Areas of Expertise
- Artificial Intelligence and Machine Learning
- Quantitative Research and Data Analysis
- Predictive Modeling and Forecasting
- Financial Engineering and Systematic Strategies
- Risk Management and Catastrophe Modeling
- Client Relationship Management and Business Development
Professional Impact
Throughout his career, Rohan has demonstrated a proven track record of delivering impactful data-driven solutions that have contributed to the success of his employers. As a Data Scientist at Prospect33, he has played a pivotal role in developing and deploying advanced AI and machine learning models that have enhanced the company's global data research capabilities, leading to improved decision-making and competitive advantages.
Conclusion
With his strong technical skills, business acumen, and commitment to driving innovation, Rohan Uppal is well-positioned to continue his career trajectory as a data science and analytics leader. He is passionate about leveraging the power of data and technology to solve complex business challenges and create value for his clients and stakeholders.