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Resume

Yaseen Khalil

LinkedIn

GitHUB

Education

Virginia Tech University | 2024-Present

Major: Computational Modeling and Data Analytics

Specialization: Cryptography

Minors: Computer Science and Mathematics

Relative Courses: R Programming (Harvard Certificate), Leadership (MIT Certificate), Data Science (Harvard, Non-Certification), Data Structures (HS), Mobile Programming (HS), Advanced Statistics & Probability (HS)

Projects

Data Structure Projects | (Coded in Java)
  • Dijkstra Algorithm: To replicate GPS functionalities, I designed a Dijkstra-based system to calculate shortest paths and distances between major cities, mimicking a real-life navigation solution for route planning.
  • Complex Dynamics Visualization Program: To enhance the visualization of complex mathematical functions, I created an interactive GUI to graph Julia and Mandelbrot sets to make complex functions more accessible for educational purposes.
  • Binary Search Trees: Faced with the challenge of arranging large, disorganized datasets, I developed a solution using a Binary Search Tree with multiple traversal methods creating an organization system with swift data retrieval speeds.
  • Superlist Project: Directed to integrate multiple data structures into a single, cohesive list. I created a “Superlist” utilizing List Nodes to inherit the functionalities of Stacks, Arrays/Array Lists, and Queues, simplifying multiple data structures within a singular superclass.
Financial / Technical Projects | (Coded in Pinescript and Python)
  • Dual Polynomial Projection: To predict future price movements, developed a model that projects multinomial curves beyond observed data points that provided valuable insights into potential market trends.
  • The Tiny Oracle: Needing to assess price movements, created an analytical tool that evaluates multiple financial indicators and delivers a “Buy, Sell, or Neutral” rating, providing actionable insights on market trends.
  • Refined Time-Series Analysis: Having to forecast potential trend shifts, implemented a predictive tool using Linear regression and Time-Series Analysis with adjustable periods to enhance trend predictions.

Experience

FOUNDER | ALGO SYNTHESIS | SEPTEMBER 2022 – PRESENT

Build trading strategies to gain hands-on experience in programming, trading, and business development.

  • Developed over 7 full-cycle trading indicators and strategies, optimizing algorithms and improving trading efficiency, and achieving various success and profit ratios.
  • Mentored 5 classmates and significantly improved their interest, engagement, and future progression into in programming and trading.
BARISTA / TRAINER | STARBUCKS BISTRO | JUNE 2023 – July 2024
  • Created positive work environment. Helped resolving conflicts. Assisting customers. Opening/Closing responsibilities. Cash register duties. Preparing drinks.

Technical Skills

  • Programming Languages: Java, Python, R, Pine Script.
  • Tools & Technologies: GitHub, Bash, Stack OverFlow, IntelliJ, Visual Studio, CLion, TradingVeiw, Android Studio.
  • Administrative: Office 365 (Excel, Word, Outlook, PowerPoint, Teams), Google G Suite, Zoom.
  • Finance: Algorithmic Coding, Trading, Forex, Crypto, Options, Order Books, Accounting reports.

Interests

Coding, Quant, Financial Markets, Reading, Weightlifting, Volleyball, Tennis, Rowing, Hiking.

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