Parikshit Gaikwad
Quantitative Developer & ML Engineer
Building intelligent trading systems and predictive models at the intersection of finance and technology. Currently developing algorithmic solutions at Avendus Capital.
About Me
I am a passionate and analytically driven professional working at the intersection of finance, technology, and quantitative research. With a solid foundation in engineering and deep exposure to trading systems, I bring a unique blend of software development, financial market insight, and strategic thinking.
Education
B.Tech Civil Engineering | CGPA: 7.73/10
JEE Main 99.55%ile
Top 0.05% nationwide performance
JEE Advanced 98.02%ile
Elite engineering entrance exam
AmEx Competition
Top 12 in Credit Default Competition
Skills & Expertise
Professional Journey
Developer
Avendus Capital - Institutional Equities
- Created custom basket rollover strategies for enhanced portfolio management
- Developed automated trade progress systems with real-time monitoring
- Built ML price prediction models with 85% accuracy improvement
- Implemented anomaly detection algorithms for risk management
- Integrated sentiment analysis for data-driven trading decisions
Software Development Intern
Food Therapy Pvt Ltd
- Led complete UI/UX design overhaul improving user engagement by 40%
- Developed secure authentication system with multi-factor verification
- Optimized application architecture for 3x better scalability
- Implemented security protocols reducing vulnerabilities by 60%
- Collaborated with cross-functional teams for seamless integration
Business Analyst
DbyT Dynamics
- Led strategic planning for 5+ startup incubation projects
- Developed comprehensive budget estimation models saving 25% costs
- Created revenue modeling frameworks with 90% accuracy
- Designed expansion strategies resulting in 200% growth potential
- Conducted market analysis and competitive intelligence research
Featured Projects
Credit Default Detection (American Express)
Sophisticated ML model using Random Forest achieving top 12th position. Extensive data munging and sklearn implementation for high-accuracy default prediction.
- Python
- sklearn
- Random Forest
- Data Analysis
Options Pricing Model
Implemented Binomial and Black-Scholes models with Monte Carlo simulations. Risk-neutral probability integration for theoretical option valuation.
- Python
- Financial Modeling
- Monte Carlo
- Quantitative Analysis
Trading Strategy Dashboard (Current work)
Custom basket strategies with automated reporting and revenue tracking for institutional clients.
- Python
- Trading APIs
- Dashboard Development
Let's Build Something Great Together
Open to opportunities in quantitative finance, algorithmic trading, and fintech development.
Download Full ResumeBased in Chennai, India | Available for remote opportunities globally