Akshat S. — Product Engineer
As an aspiring finance professional at SRCC, I am passionate about solving real-world problems at the intersection of markets, machine learning, and quantitative analysis. My journey spans building advanced portfolio analytics engines, applying deep learning models for market prediction, and launching innovative, AI-powered research tools—demonstrated hands-on, not just in theory. I’ve led major consulting and live projects, including market analysis for Dexter Capital Advisors and capstone deliverables for Dawon Drone India, pairing analytical rigor with business impact. Recently, I engineered: - A Python-powered risk management system (portfolio simulations, 15+ institutional risk metrics, Nobel-level optimization, and real-time investment insights) - A trading intelligence system that automates daily research, news sentiment, and real-time risk alerts for smarter investing - An AI multi-agent platform for advanced financial research—integrating data, sentiment, and technical analytics into actionable strategies Certified in finance & treasury (EY CAFTA), stock trading, and immersed in high-velocity teams (D-Street, TEDxSRCC, Fintoric Capital), I thrive in collaborative, fast-paced environments where innovation meets execution. My core expertise blends: - Quantitative research (machine learning, Python, data engineering) - Risk management (Monte Carlo, VaR, portfolio optimization) - Fintech product development (end-to-end app, dashboard, AI agent architecture) - Communication leadership (corporate strategy, event direction, cross-functional team management) I believe finance is fundamentally about data-driven decision making and building trust at scale. I am eager to connect with CXOs, portfolio managers, fintech founders, and fellow innovators for knowledge exchange, strategic opportunity, and shaping the future of modern investing. Let’s build the next generation of finance together.
Stackforce AI infers this person is a Fintech professional with strong quantitative analysis and machine learning capabilities.
Location: New Delhi, Delhi, India
Experience: 2 yrs 5 mos
Skills
- Quantitative Research
- Python
Career Highlights
- Engineered advanced portfolio analytics engines.
- Developed AI-powered research tools for finance.
- Led market analysis projects with significant business impact.
Work Experience
Multyfi
Quant Intern (4 mos)
D-Street, Shri Ram College of Commerce
Advisory Board (10 mos)
Director of Corporate Communications (1 yr)
Event Head - Equity Research Valuation Bootcamp'24 (2 mos)
Junior Executive Member (6 mos)
Dexter Capital Advisors
Finance Live Project (4 mos)
Wings of Fire, SRCC
Senior Executive Member (4 mos)
Junior Executive Member (8 mos)
Fintoric Capital
Quant Research Intern (2 mos)
HP
Corporate Venture Capital & Business Analytics Extern (2 mos)
IFSA SRCC
Junior Associate (5 mos)
Office Of International Programmes(OIP), SRCC
Junior Executive (7 mos)
SRCC Business Conclave
Junior Co-ordinator (2 mos)
Delta Botanicals and Research Private Limited
Finance Research Intern (1 mo)
Toprankers
Academic Mentor (8 mos)
TEDxSRCC
Junior Executive Member (11 mos)
Click, The Film & Photography Society, SRCC
Junior Executive Member (9 mos)
Udaya, SRCC
Junior Executive Member (9 mos)
DELTA- The Policy Conclave, Shri Ram College of Commerce
Junior Executive Member (7 mos)
The History and Political Science Society, SRCC
Junior member (3 mos)
Computer Guyz
Marketing & Production Head (8 mos)
Education
B.Com(Hons.) at Shri Ram College of Commerce (SRCC)
Foundation at Institute of Chartered Accountants of India
12th at Kakka International School
