I'm a Mathematician, a trader, and a coder.
I love exploring the world of numbers and technology, developing innovative projects, and tackling complex problems with creative solutions.
I am a senior at Purdue University majoring in Mathematics with minors in Computer Science, Economics, and Statistics. My passion for entrepreneurship and numbers has led me to develop a diverse skill set in finance, data science, and technology. My experience includes developing a patented geolocation application during my research at Caterpillar Inc., creating a satellite collision-avoidance tool at Viasat, and conducting financial modeling and dashboard development during my internship at Zebra Technologies. I constantly seek opportunities to merge technical innovation with strategic decision-making to solve real-world challenges.
I have contributed to quantum information theory research at Purdue, utilizing Python, NumPy, and Pandas for computational analysis and machine learning techniques like Support Vector Machines. As an academic mentor, I have helped over 40 student-athletes excel in accounting, finance, and statistics. My leadership experience includes founding Purdue's first student-led venture capital club and managing a non-profit organization, where I drove a 70% increase in sales through optimized financial strategies. I am passionate about leveraging my technical expertise and analytical skills to drive impactful and innovative solutions.
Expected Graduation Year: 2025
Purdue University
Major: Mathematics with concentration in Business
Minors: Computer Science, Economics, Statistics
Relevant Modules:
Java
Python
HTML
CSS
Blender
SQL
Git
C
C++
Matlab
Tableau
Figma
Financial Modelling
Valuation Analysis
Jupyter
XML
Microsoft Office
LaTeX
SVM
Established the first student-led venture capital club at Purdue University, collaborating with industry professionals, including venture capitalists and alumni, to host workshops and speaker events. Developed and managed portfolio of investments, tracking financial performance and generating actionable insights.
October 2024 – PresentMentored over 40 student-athletes in accounting, finance, and statistics, implementing personalized academic strategies that resulted in a 40% improvement in their average grades.
May 2023 – PresentAnalyzed over 300,000 matrices using Python (NumPy, Pandas) and MATLAB for computational analysis, and optimizing solutions for quantum problems. Applied Support Vector Machines (SVM) and other machine learning techniques to develop efficient computational methods in quantum information theory, resulting in the publication of a research paper on Farkas' Lemma and Positive Semidefinite Matrices.
May 2023 – January 2025/span>Designed and implemented a satellite collision-avoidance tool, enhancing sustainability in low-Earth orbit (LEO) by accurately predicting and mitigating potential risks. Utilized APIs from Space-Track, Celestrak, and data visualization tools to merge and visualize space sustainability data, aiding in tracking satellite objects and mitigating collision risks.
August 2024 – December 2024Analyzed gameplay data to recommend improvements for hero optimization, resource management, and combat efficiency, enhancing both casual and competitive gameplay experiences. Developed and presented predictive performance analytics tools, helping players optimize hero selection and combat strategies in real-time.
August 2024 – September 2024Developed a patented application that significantly enhanced fleet management by providing real-time geolocation push notifications and optimal charging routes, greatly improving operational efficiency.
August 2023 – April 2024Conducted extensive company research and presented high-potential investment opportunities, creating detailed CFA-standard reports that informed key investment decisions.
January 2023 – PresentFounded and managed a non-profit organization, driving a 70% increase in sales through strategic financial and marketing initiatives during the COVID-19 pandemic.
May 2021 – December 2021Implemented advanced financial analysis models and developed a performance dashboard that streamlined reporting processes, reducing reporting time by 25%.
May 2022 – August 2022
