= CODE + FINANCE + MATH

> 5+ projects

> 2+ research papers

> DSA, system design, OS, Finance

> Volunteering @Adobe's Student Ambassador program

> 4+ Certifications

> open to opportunities

About Me

I am driven by a deep interest in finance, mathematics, and codingโ€”fields where logic meets creativity. At my core, I am a builder: I enjoy turning ideas into tangible outcomes, whether through code, systems, or innovative solutions. One defining trait about me is my inability to remain idle; I am constantly exploring, learning, and creating. While I aspire to pursue a career in investment banking in the future, my current focus lies in the technology spaceโ€”building, experimenting, and growing within the industry. I am eager to expand my network, collaborate with like-minded individuals, and continue doing what I genuinely enjoy. At the end of the day, I am someone who thrives on momentumโ€”constantly learning, building, and evolving. If you are interested in discussing ideas, collaborating on projects, or simply having an engaging conversation, feel free to reach out!

About Me

Featured Projects

A curated collection of my work combining mathematics, finance, coding, and physics to solve real-world problems.

Gauss canon (Magnetic accelerator)

Won the annual Science Exposition for the successful design and engineering of a Gauss Cannon, a sophisticated magnetic accelerator that translates electromagnetic theory into a functional prototype. This project required the meticulous application of advanced physics principles, necessitating an iterative process of theoretical research, circuit assembly, and rigorous performance testing. Beyond validating core scientific concepts, this initiative sharpened my technical problem-solving capabilities and reinforced a commitment to experimental innovation, demonstrating a proven aptitude for bridging the gap between complex theoretical frameworks and tangible, high-performance engineering.

April 2022 Completed

EMEA Google Cloud Student Programme

I participated in an exclusive Google EMEA Cloud session, gaining immersive technical experience with Google AI Studio to explore the intersection of artificial intelligence and software architecture. Tasked with engineering a functional game using AI-integrated tools, I applied advanced programming logic to solve complex development hurdles within an accelerated timeframe. This experience significantly enhanced my proficiency in leveraging AI-powered development platforms and deepened my understanding of how to architect scalable, intelligent solutions for real-world applications.

Github link ๐Ÿ”— โ†’ Oct 2025 Completed

Portfolio (This website)

Who says math can't be pink? This project is a 'living' portfolio that blends a vaporwave-inspired pink aesthetic with technical precision. I spent my spring break building this from the ground up, focusing on immersive user experience (UX) elements like reactive neon glows, animated math overlays, and sophisticated CSS transitions. Itโ€™s more than a resumeโ€”itโ€™s a fully responsive, interactive playground that demonstrates my ability to code complex animations from scratch.

GitHub link ๐Ÿ”— โ†’ Apr 2025 Completed

Coming soon..

project description.

year In progress

Coming soon..

project description.

year In progress

Coming soon..

project description.

year In progress

Skills

Finance

  • Quantitative Analysis
  • Financial Modeling
  • Risk Management
  • Portfolio Optimization
  • Derivatives
  • Time Series Analysis

Engineering

  • Data Structures
  • Algorithms
  • Web Development
  • System Design
  • APIs & Backend
  • Git & Version Control

Mathematics

  • Linear Algebra
  • Probability
  • Statistics
  • Calculus
  • Optimization
  • Numerical Methods

Research Publications

A selection of my research work exploring mathematics, finance, and computational methods.

Beyond the Ledger: Synthesising Quantitative Rigour and Strategic Vision

This publication represents the intellectual synthesis of my rigorous academic tenure, specifically distilling the quantitative arcana and macroeconomic postulates. By harmonising empirical datasets with strategic equity frameworks, I have transmuted abstract financial theory into a cohesive, pedagogical narrative. It serves as a testament to my transition from a rudimentary understanding of capital to a sophisticated mastery of the analytical levers that govern global markets.

View Paper ๐Ÿ”— โ†’ 2026 Completed

Performance Analysis of Moving Average Crossover Strategies in High-Frequency Trading Environments

This research publication, "Discrete Signal Processing in Financial Time-Series," analyses the efficacy of the Dual-Moving Average Crossover (DMAC) algorithm through a computer science lens. By treating market prices as a high-dimensional data stream, the paper details the construction of a Python-based backtesting engine optimised via vectorised operations. The study evaluates strategy performance across multiple asset classes using risk-adjusted metrics like the Sharpe Ratio, ultimately demonstrating how algorithmic low-pass filters can mitigate emotional bias and isolate tradable trends in volatile markets.

View Paper ๐Ÿ”— โ†’ 2026 In progress

ML for Finance

Working on it!

2026 In progress

Letโ€™s Connect

If youโ€™re looking to collaborate on research, have an interesting challenge in mind, or simply want to connect, Iโ€™d be glad to hear from you.

Get in Touch

dishaumeshaiah@icloud.com

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