Detail-oriented and analytical B.S. candidate in Mathematics & Computer Science with hands-on experience in data analysis, quantitative trading, and predictive modeling. Proven track record of developing innovative solutions in both academic research and professional environments. Strong programming skills in Python, Java, and MATLAB, with a focus on applying statistical techniques to solve complex problems. Passionate about leveraging technology and quantitative methods to drive impactful results in finance and trading.
Algorithmic Trading Simulation, Developed a simulated trading environment in Python to test and refine options trading strategies, incorporating statistical models and risk management techniques to optimize returns. Predictive Analytics in Healthcare Robotics, Conducted research on predictive models for robotic behaviors in healthcare settings, utilizing statistical techniques to enhance the robot's decision-making processes, and developed a 'Routine Places' game to assist Alzheimer's patients in memory retention through interactive gameplay.