Aspiring Quant · Computer Engineering & Computer Science @ Northeastern · Business + Mathematics
Boston, MA · Portfolio · LinkedIn
Junior at Northeastern University studying Computer Engineering & Computer Science, with minors in Business Administration and Mathematics.
Hands-on experience across cloud/data engineering, automation, ML development, and financial modeling. I'm especially interested in quantitative research & trading (options market-making, volatility modeling, prediction markets, and applied deep learning).
- Options & volatility: pricing, risk, execution, and systematic vol strategies
- Prediction markets: campus market design, market-making, and event-driven strategies
- Quant systems: market microstructure, liquidity routing, stat-arb, portfolio optimization
- Applied ML: NLP/regression/classification pipelines with reproducible workflows
Natixis Investment Managers · Enterprise Data Engineering Co-op (Jul 2026 – Dec 2026)
Tigress Financial Partners · Trading Intern (May 2026 – Jul 2026)
- Built proprietary bond-pricing and yield-curve models in Python across the credit space, calibrating NSS and spline curves to live Tradeweb and Bloomberg quotes to surface relative-value opportunities
- Shadowed senior traders on the NYSE floor, observing live order flow, market microstructure, and execution dynamics across equity and fixed-income markets through the opening and closing auction windows
Orion Alpha Asset Management · Global Quant Equity & Options Trading Intern (Feb 2026 – May 2026)
- Architected scalable Python pipelines ingesting real-time equity and options data for trade surveillance, monitoring Greeks exposure, volatility surfaces, and execution quality across multi-leg strategies
- Automated daily P&L attribution and trade-reporting dashboards across equity and derivatives books, tuning execution on historical options flow to reduce slippage on delta-hedged positions
NU Disrupt · Director of Quant (Sep 2025 – Present)
- Leading a 15+ member team building Python research projects across statistical arbitrage, factor modeling, and order-book microstructure, running weekly code reviews and signal-validation sessions
- Orchestrated Northeastern's inaugural Quant Trading Competition (100+ participants), designing challenge sets spanning market making, execution algorithms, and systematic portfolio construction
E[X] Trading · Founder & President (Incoming Fall 2026)
- Founded and lead a student-run trading organization, building arbitrage and systematic crypto strategies on a production system with backtesting, execution, and unified risk management
- Launched a campus prediction-market platform (1,000+ participants) and ran an algorithmic poker-bot competition for 100+ students, designing the game engine and bot-evaluation framework
CoinLedger · Crypto Accounting Intern (Dec 2025 – Present)
- Engineered automated ETL pipelines to reconcile multi-exchange + on-chain transaction data into structured ledgers for cost basis, P&L, and tax reporting
- Implemented anomaly detection in Python/Excel to flag mispriced events, wash-trading patterns, and execution inconsistencies across thousands of transactions
- Built granular visualizations for DeFi activities (staking, LP exits, DEX routing) to streamline engineering + operations workflows
Ogilvy New York · AI/ML Intern (Jun 2025 – Sep 2025)
- Built & deployed ML pipelines (NLP, regression, classification) for multi-platform campaign data
- Improved forecast accuracy; shortened manual reporting cycles
- Shipped automated analytics dashboards; improved reporting efficiency ~20%
LUMIQ · Cloud/Data Intern (Jun 2024 – Aug 2024)
- Built AWS ingestion + observability; improved data freshness & failure visibility for SLAs
- Automated Python/SQL ETL/ELT workflows; reduced manual ops 30–40%
Northeastern University College of Engineering · Teaching Assistant (Fall 2024 – Spring 2026)
- Teaching Assistant — Calculus I (Fall 2024, Spring 2025)
- Teaching Assistant — Differential Equations (Fall 2025, Spring 2026)
Northeastern University · Research Assistant — Prof. Mikhail Oet & Prof. W. Paul Chiou (2025 – Present)
- Building an NLP sentiment pipeline benchmarking ProQuest TDM against a Google-based retrieval approach on financial corpora, evaluating VADER and FinBERT across coverage, retrieval speed, and sentiment accuracy for publication
- Developing graph-based sectoral stress-spillover and contagion models to quantify systemic-risk transmission across financial sub-sectors — awarded a Summer 2026 PEAK Experiences (Base Camp) Award
Northeastern University · Undergraduate Researcher — Prof. Somogyi
- Treasury auction tail dynamics using Bloomberg terminal data
- PEAK Experiences Award — Base Camp (Summer 2026) — Northeastern College of Engineering, for undergraduate research on "Spillovers and Contagion in Financial Intermediaries" (mentor: Prof. W. Paul Chiou) — awardees
- Srinivasan Family Award for Student Projects in Emerging Markets — Center for Emerging Markets, D'Amore-McKim School of Business, for HarvestSignal: AI-driven commodity price predictions delivered via SMS to smallholder farmers in India (with the Kaushalya Foundation, Bihar) — announcement
- PersonalTerminal — Bloomberg Terminal clone (TypeScript / React / Node.js), 9 modules, 9,700+ lines — live demo · https://github.com/sinhaarya04/PersonalTerminal
- COT Positioning Intelligence System — Python · DuckDB · Qwen/HuggingFace · Streamlit; 8 commodity markets, 40 years of CFTC + EIA data, deployed on Northeastern's Explorer HPC cluster
- IMC Prosperity — Market-Making Bot — EMA-based fair-value engine, backtesting simulator, and manual-round optimization
- HarvestSignal — Agricultural price forecasting for smallholder farmers (partnership with the Kaushalya Foundation)
- Cross-Sectional Equity Return Prediction — Spark/PySpark pipeline (Fama–MacBeth + Ridge/Lasso/MLP) across the S&P 500 universe
- INTERVUE.ORG (TypeScript) — https://github.com/sinhaarya04/INTERVUE.ORG
- PolicyBright UI (TypeScript) — https://github.com/sinhaarya04/policybright-ui
- SeeThroughBU (TypeScript) — https://github.com/sinhaarya04/SeeThroughBU
- Unsupervised Trading Strategy (Jupyter) — https://github.com/sinhaarya04/UnsupervisedTradingStrategy
- News Sentiment Analysis (Jupyter) — https://github.com/sinhaarya04/NewsSentimentAnalysis
- E[X] Trading — Founder & President — Built and lead a 50+ member organization developing a campus prediction-markets platform
- NU Disrupt — Quant Team (Director)
- AIQS — Quant Analyst
- NU Systematic Alpha — Quant Researcher
- Poker Club · Putnam Club · Actuary Club
- Pacer — Charles River Marathon · Run Club · Triathlon Aspirant
Machine Learning · Python · C++ · SQL · TypeScript · AWS · Data pipelines · Communication
Languages: Hindi (native/bilingual) · English (native/bilingual)
- CME Trading Challenge (Final 100)
- SIE Certified
- CFA Level I Candidate (Feb 2026)
- Bloomberg Market Concepts
- Bloomberg Finance Fundamentals
- Bloomberg Spreadsheet Analysis
- AKUNA Options 101–201
- Forage — JPMC Quant Research
- BCG — GenAI Job Simulation
- BofA — Quant Analytics
