Atul . — Business Analyst
Hello! I work as a Quant, tracking markets, working on financial models, and their deployment. I love solving problems and giving my best at everything. Dived into machine learning, specifically training unsupervised models focused on representation learning. I am an enthusiastic team player who likes to engage in sports, including Hockey, Badminton, and Squash.
Stackforce AI infers this person is a Fintech professional with a strong focus on quantitative research and event management.
Location: New Delhi, Delhi, India
Experience: 3 yrs 8 mos
Skills
- Statistics
- Leadership
- Mathematics
- Management
- Machine Learning
- Quantitative Research
- Teaching
- Event Management
- Logistics Management
Career Highlights
- Expert in quantitative strategies and financial modeling.
- Proficient in machine learning and statistical analysis.
- Strong leadership in organizing academic and social events.
Work Experience
Quadeye
Quantitative Strategist (1 yr)
Indian Institute of Technology, Delhi
Undergraduate Teaching Assistant (4 mos)
Quadeye
Quant Intern (2 mos)
Co-Curricular and Academic Interaction Council (CAIC),IIT Delhi
Overall Coordinator, Mathematics Society (1 yr)
Coordinator, Mathematics Society (9 mos)
Executive, Mathematics Society (9 mos)
DevClub IIT Delhi
Executive (9 mos)
Board for Student Welfare (BSW), IIT Delhi
Academic Mentor (3 mos)
Activity Incharge Speranza 2023 (1 mo)
WorldQuant
BRAIN Research Consultant (4 mos)
Office of Career Services, IIT Delhi
Head Volunteer (0 mo)
NSS IIT Delhi
Activity Head Kaizen 23' (5 mos)
Board for Hostel Management, IIT Delhi
Hostel Representative (11 mos)
TRYST, IIT Delhi
Logistics Team Lead (1 mo)
Rendezvous
Events Team Head (1 mo)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Delhi
High School at The Army Public School, Dhaula Kuan, New Delhi