Lalith Dussa Email
Quantitative Researcher @ Undisclosed Hedge Fund
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Lalith Dussa Location
- New York, NY, US
Lalith Dussa Work
- Quantitative Researcher @ (December 2024 - Present)
- Quantitative Research Analyst @ (September 2024 - November 2024)
- Quantitative Analyst Intern @ (June 2024 - August 2024)
- Quantitative Researcher @ Lockwood Analytics (June 2024 - August 2024)
- Academic Quantitative Researcher @ (January 2024 - May 2024)
- Member @ (October 2023 - May 2024)
- Founder and Chair @ (February 2022 - February 2024)
- Deep Learning Research Intern @ (December 2022 - May 2023)
- Big Data Analytics Research Intern @ (December 2022 - January 2023)
- Team Lead at Silicon Valley Innovation Academy @ (June 2022 - August 2022)
- President @ (February 2022 - July 2022)
- Co-Founder and Head of Finance @ (May 2021 - August 2021)
Lalith Dussa Education
- Columbia University
Master of Science (Financial Engineering)
2023-2024 - National University of Singapore
Machine learning (Deep learning and Big Data Analytics)
2022-2023 - Vellore Institute of Technology
Bachelor's of Technology (Computer Science and Technology)
2019-2023 - Stanford University
Visiting student (Economics and Technology Entrepreneurship)
2022-2022 - FIITJEE
Higher Education (Math Physics and Chemistry)
2017-2019 - Silver Oaks International Schools
Secondary Education
2012-2017
Lalith Dussa Skills
- Trading
- Quant Research
- Machine Learning
- Algorithmic Trading
- Private Equity
- Portfolio Optimization
- Fundamental Analysis
- Statistical Modeling
- Financial Forecasting
- Factor Analysis
- Big Data Analytics
- Signal Research
- Predictive Modeling
- Mathematical Modeling
- Statistical Data Analysis
- Business Development
- Scientific Research
- Pitch Development
- Entrepreneurship
- Accounting
- Artificial Intelligence (AI)
- Deep Learning
- Data Modeling
- Python (Programming Language)
- Data Analysis
- Marketing Strategy
- C++
- Financial Planning
- Stock Market Analysis
Lalith Dussa Summary
- Lalith Dussa, based in New York, NY, US, is currently a Quantitative Researcher at Undisclosed Hedge Fund. Lalith Dussa brings experience from previous roles at Equi, Lockwood Analytics and TZP Group. Lalith Dussa holds a 2023 - 2024 Master of Science in Financial Engineering @ Columbia University. With a robust skill set that includes Trading, Quant Research, Machine Learning, Algorithmic Trading, Private Equity and more. Lalith Dussa has 1 emails on RocketReach.
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