Divyansh Singhvi — AI Researcher
My interest lies in field of machine learning and statistics. Currently applying it in financial domain. Always up for discussions on interesting ml/systems problems. I sporadically like to participate in machine learning Kaggle competitions. Currently a master candidate in kaggle competitions. In my undergraduate, I worked on research for tuning parallel computing I/O using bayesian optimization.
Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and machine learning.
Experience: 6 yrs 6 mos
Skills
- Machine Learning
- Quantitative Research
- High-frequency Trading
Career Highlights
- Expert in machine learning applications in finance.
- Strong background in quantitative research and trading strategies.
- Active participant in Kaggle competitions.
Work Experience
Millennium
Senior Quantitative Researcher (1 yr 4 mos)
Quantitative Researcher (3 yrs 2 mos)
Aakraya Research
Quantitative Researcher (1 yr 7 mos)
Tower Research Capital
Core Engineer Developer (5 mos)
Core Developer Engineer, Intern (2 mos)
Education
Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Kanpur
High School at Samrat Public Senior Secondary School,Ajmer
High School at Mayoor School, Ajmer
