About me

I'm currently pursuing a Bachelor of Science in Computer Science at Virginia Tech, with a Minor in Mathematics and Finance. Throughout my academic journey, I have developed strong skills in problem-solving, analytical thinking, and programming, which have been integral to my studies and projects.

My passion lies in the intersection of finance and technology, particularly in areas like algorithmic and high-frequency trading, artificial intelligence, and machine learning. I have a deep interest in the financial markets and enjoy staying informed by reading extensively on these topics.

I am eager to apply my knowledge and enthusiasm for innovative technologies in a dynamic and growth-oriented environment. As I continue to explore and develop in this field, I aim to leverage my expertise to create impactful solutions and advancements that bridge finance and technology.

My Interests

  • Stocks

    Financial Markets

    The complexities of market behavior and the interplay between economic indicators, investor sentiment, and global events fascinate me.

  • Math

    Mathematics and Probability

    I find it fascinating how nearly everything in our lives is rooted in mathematical principles.

  • code

    Programming

    The algorithmic and problem-solving components intrigue me, fueling my passion to continually explore and innovate through code.

  • guitar

    Music

    Playing the guitar allows me to express my creativity and relax.

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Daniel lewis

Resume

SWE Quant

Education

  1. Virginia Tech

    Aug 2023 — Present

    Bachelor of Science in Computer Science with a Minor in Mathematics and Finance

    GPA: 3.59 / 4.0
    In-Major GPA: 3.76 / 4.0

  2. IES Bhavans, Kuwait

    Jan 2010 — May 2023

    Senior School Certificate Examination in Computer Science GPA: 91.2/100

    Secondary School Examination in Information Technology GPA: 94.3/100

Experience

  1. Quantitative Researcher, DLQF Lab At Virginia Tech

    October 2024 — Present

    • Collaborating with two researchers on Order Execution & Optimization research, focusing on market microstructure analysis and implementation of trading strategies

    • Implementing various execution algorithms and optimization methods in Python to understand market impact and transaction costs

    • Conducting comprehensive literature review on market making strategies and optimal execution techniques

    • Developing quantitative models to analyze trade execution efficiency and market dynamics using statistical methods and Python

  2. Research Assistant - REACH Lab At Virginia Tech

    March 2024 — Present

    • Conducted an extensive literature review under the leadership of Dr. Ihudiya Finda Williams, on a focused project on Rural Computer Science Education.

    • Synthesized over 80+ articles and papers across libraries in computing, education in reparation of $500,000 National Science Foundation grant.

    • Trained 6 research assistants on different methods of searching through databases, provided tools, methodologies for prompt queries and Literature Reviews.

  3. Web Developer Intern

    June 2021 — September 2021

    • Designed and created 5 interactive web-pages for young museum visitors, featuring sequential exhibit zones with QR codes for historical information about Kuwait.

    • Developed 8 puzzles and games using cardboard pieces and silhouettes

    • Designed 3 interactive tools like query boards/trivia questions to enhance children’s learning of Kuwait and Al-Sabah exhibit history.

My Skills

Projects

Live Market Analytics

S&P 500 5,203.58 +0.74%
NASDAQ 16,428.82 +1.25%
VIX 16.72 -4.67%
10Y Treasury 4.32% -0.02
  • Sports Betting Algorithm & Analytics System

    Sports Betting Algorithm & Analytics System

    A sophisticated analytics system to identify profitable betting opportunities using statistical models and machine learning.

    Python Data Analysis Streamlit
    View Project
  • Optimal Trading Execution System

    Optimal Trading Execution System with Reinforcement Learning

    Implementation of the Almgren-Chriss model for optimal trade execution, enhanced with a Reinforcement Learning agent to minimize market impact.

    Python Reinforcement Learning Quantitative Finance
    View Project
  • MACD Trading Strategy Visualizer

    MACD Trading Strategy Visualizer

    An interactive web application to visualize the MACD indicator and backtest trading strategies on historical stock data.

    Python Streamlit Technical Analysis
    View Project
  • Video Poker

    Video Poker

    A classic Video Poker game built with a clean interface, focusing on probability and game theory.

    Python Pygame Game Development
    View Project
  • Crash Car

    Crash Car

    A simple and fun 2D car racing game developed to demonstrate object-oriented programming principles.

    JavaScript HTML5 Canvas Game Development
    View Project
  • Options Pricing Calculator

    Options Pricing Calculator & Graph Using the Black-Scholes Model

    A tool for pricing European options using the Black-Scholes model, with visualizations for the Greeks.

    Python Quantitative Finance Streamlit
    View Project

Contact

Contact Me