Vrinda Goel — Data Scientist
Final-year Dual Degree (B.Tech + M.Tech) student in Electrical Engineering at IIT Bombay, specializing in Communication & Signal Processing with a minor in AI & Data Science. Experienced in quantitative analysis (iRage Capital) and computer vision (Sentry AI), with three peer-reviewed ML publications. Proficient in Python, C++, TensorFlow, and PyTorch, with a strong passion for data analytics, machine learning, and software engineering. Actively contributing to impactful research and open-source projects while leading and collaborating on technical initiatives.
Stackforce AI infers this person is a Fintech-focused Data Scientist with strong quantitative analysis and machine learning expertise.
Location: Mumbai, Maharashtra, India
Experience: 1 yr 6 mos
Skills
- Data Science
- Machine Learning
- Quantitative Research
- Quantitative Analysis
- Data Analysis
- Quantitative Trading
Career Highlights
- Three peer-reviewed ML publications.
- Led impactful research and open-source projects.
- Expertise in quantitative analysis and machine learning.
Work Experience
Coupa
Data Scientist (8 mos)
Sentry AI
Machine Learning Researcher (3 mos)
Inter IIT Tech Meet 12.0
Team Lead - Brain Quantitative Analyst Challenge(High Prep) (1 mo)
WorldQuant
Research Consultant (10 mos)
Irage Broking Services LLP
Quantitative Analyst (1 mo)
Indian Institute of Technology, Roorkee
Research Intern (5 mos)
Indian Institute of Technology, Bombay
Institute Convener , Web and Coding Club (10 mos)
QUANTIACS
Independent Quant Trader (7 mos)
Education
B.Tech and M.Tech at Indian Institute of Technology, Bombay
12th at S.D Vidya Mandir
