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Achievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

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aarjava/README.md

Aarjav – Curriculum Vitae

Contact Information

Professional Summary

Motivated 10th grade student passionate about quantitative finance and technology. I enjoy exploring algorithmic trading, financial markets, and data analysis, and building projects to deepen my understanding.

Education

  • Lightridge/Academies of Loudoun High School — 10th Grade (Expected Graduation: 2028)
    • GPA: 3.97 (unweighted)
    • SAT: 1500 (730 R&W, 770 Math)

Skills

  • Programming: Python, TypeScript, React, Next.js
  • Data Analysis & Visualization
  • Financial Modeling & Research
  • Machine Learning Basics

Projects

  • hedgefund-dashboard – A Streamlit-based quantitative finance dashboard built with Python, Supabase, and Plotly for automated price ingestion, technical indicators, and portfolio analysis.
  • fluxlens-ai – Predictive operational intelligence platform using Next.js, TypeScript, and AI to surface insights from data.
  • finance-research-paper – Regime-switching Heston-jump diffusion model calibrated via MLE to capture financial tail risk and volatility clustering. Unlike GARCH, it models stochastic volatility and jump-driven tail events, so it can better capture sudden crashes and regime changes rather than only variance persistence.

Awards & Honors

  • DECA 1st Place DLC – Business Finance Series
  • DECA ICDC Qualifier - Business Finance Series
  • FBLA State Finalist – International Business

Interests

  • Finance research and quantitative analysis
  • Building innovative software solutions
  • Participating in math and finance competitions

Popular repositories Loading

  1. fluxlens-ai fluxlens-ai Public

    Predictive operational intelligence platform

    TypeScript 1

  2. aarjava aarjava Public