Gaurish Agrawal — AI Researcher
Quant Researcher with 5+ years of systematic equity buy side experience in natural language processing, machine learning and time series modeling on large datasets using spark to derive orthogonal signals. Proficient in leveraging advanced statistical techniques and Large Language Models, ML algorithms to extract meaningful insight from complex data using distributed computing. Skilled in SQL, data-preprocessing, feature engineering, model building and evaluation. Proven ability to collaborate effectively with cross-functional teams to deliver impactful data-driven solutions.
Stackforce AI infers this person is a Fintech Quant Researcher with expertise in machine learning and data analysis.
Location: Bengaluru, Karnataka, India
Experience: 9 yrs 4 mos
Skills
- Machine Learning
- Statistical Modeling
- Time Series Modeling
- Data Analysis
Career Highlights
- 5+ years of experience in quantitative research.
- Expert in machine learning and NLP techniques.
- Proven ability to derive insights from large datasets.
Work Experience
State Street Global Advisors
Quantitative Researcher (5 yrs 11 mos)
Reliance Industries Limited
DATA SCIENTIST INTERN (2 mos)
myKaarma
Software Engineer (3 yrs)
Indian Institute of Technology (Banaras Hindu University), Varanasi
Teaching Assistant (5 mos)
HMT Limited
Summer Trainee (1 mo)
Education
Master in Business Analytics at Indian Institute of Science (IISc)
Bachelor's Degree at Indian Institute of Technology (Banaras Hindu University), Varanasi