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sinhaarya04/README.md

Aryan Sinha

Quantitative research · Data engineering · Financial software

Computer Engineering & Computer Science student at Northeastern University, with minors in Mathematics and Business Administration. I build data pipelines, research tools, and market applications, with interests in prediction markets, market microstructure, fixed income, and applied machine learning.

LinkedIn · Portfolio · Email

Selected projects

Project What it explores Tools
Prediction-market causal research Audit of yield incentives and participation on Polymarket, using overlap diagnostics, causal forests, semantic matching, and wallet-level analysis. Python, LightGBM, EconML, sentence transformers
PersonalTerminal Financial research dashboard with custom SVG charts, market data, macroeconomic series, news, and portfolio tools. JavaScript, React, market-data APIs
E[X] Terminal Prediction-market application with binary and multi-outcome pricing, positions, trade history, and a Supabase data layer. TypeScript, React, PostgreSQL, Supabase
COT Positioning Intelligence CFTC, EIA, and futures-price pipelines for exploratory positioning signals, forward-return analysis, and a research dashboard. Python, DuckDB, Streamlit, Qwen
Cross-sectional return prediction Equity-return modeling with expanding-window evaluation, regularized regression, neural networks, and distributed processing. Python, PySpark, scikit-learn
Disrupt Quant 2026 Challenge Public quantitative research challenge with market data, a next-open backtester, transaction costs, portfolio constraints, and submission validation. Python, pandas, NumPy

More work: Yield-curve modeling · Regime-switching Monte Carlo · WASDE Alpha Lab

Experience

Organization Role Dates
Natixis Investment Managers Enterprise Data Engineering Co-op Jul 2026–Present; scheduled through Dec 2026
Tigress Financial Partners Trading Intern May–Jul 2026
Orion Alpha Asset Management Global Quant Equity & Options Trading Intern Feb–May 2026
CoinLedger Crypto Accounting Intern Dec 2025–Present
Ogilvy New York AI/ML Intern Jun–Sep 2025
LUMIQ Cloud/Data Intern Jun–Aug 2024
Northeastern University College of Engineering Teaching Assistant, Calculus I and Differential Equations Fall 2024–Spring 2026

My work spans fixed-income pricing and yield curves, equity and options data pipelines, crypto transaction reconciliation, campaign analytics, and cloud ETL workflows.

Research and leadership

  • Northeastern University — Research Assistant: NLP sentiment research with Professors Mikhail Oet and W. Paul Chiou, alongside work on financial stress spillovers and contagion.
  • Disrupt — Director of Quant (Sep 2025–Present): lead student quantitative research and develop research challenges, code reviews, and signal-validation workflows.
  • E[X] Trading — Founder & President: develop student trading activities and prediction-market software.
  • HarvestSignal: an agricultural forecasting project combining commodity prices, weather, and crop-health data to deliver price information to smallholder farmers via SMS.

Recognition

  • Summer 2026 PEAK Experiences — Base Camp Award, for Spillovers and Contagion in Financial Intermediaries, mentored by W. Paul Chiou. Northeastern announcement
  • Spring 2026 Srinivasan Family Award for Student Projects in Emerging Markets, for HarvestSignal and its planned pilot with Kaushalya Foundation in Bihar, India. Northeastern announcement

Tools

Languages: Python, SQL, TypeScript, JavaScript, C++
Data and ML: pandas, NumPy, scikit-learn, PySpark, DuckDB, PyTorch
Applications and infrastructure: React, Supabase/PostgreSQL, Streamlit, AWS

Pinned Loading

  1. PersonalTerminal PersonalTerminal Public

    React financial research dashboard with custom SVG charts, market and macroeconomic data, news, and portfolio analysis tools.

    JavaScript 2

  2. Disrupt_Quant_2026_Challenge Disrupt_Quant_2026_Challenge Public

    Public multi-asset quantitative research challenge with market data, next-open backtesting, transaction costs, portfolio constraints, and submission validation.

    Python 1 3

  3. terminal terminal Public

    E[X] prediction-market terminal with binary and multi-outcome LMSR pricing, parimutuel settlement, positions, and a Supabase data layer.

    TypeScript 1

  4. Columbia-Bloomberg-Conference Columbia-Bloomberg-Conference Public

    Causal ML audit of yield incentives and participation in Polymarket prediction markets, with overlap diagnostics, semantic matching, and wallet-level analysis.

    Python

  5. cot-positioning-intelligence cot-positioning-intelligence Public

    CFTC, EIA, and futures-price pipelines for exploratory commodity positioning signals, forward-return analysis, and a Streamlit research dashboard.

    Python

  6. EECE5645 EECE5645 Public

    Cross-sectional equity-return prediction with expanding-window evaluation, regularized regression, neural networks, and distributed PySpark research.

    Python