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, applied deep learning).
- Options & volatility: pricing, risk, execution, and systematic vol strategies
- Quant systems: market microstructure, liquidity routing, stat-arb, portfolio optimization
- Applied ML: NLP/regression/classification pipelines with reproducible workflows
Disrupt — The FinTech Initiative @ Northeastern · Director, Quant Team (Sep 2025 – Present)
- Lead a 15+ member quant research team with faculty collaboration
- Build optimization algorithms for large-scale financial networks (10M+ data points)
- Launching Northeastern’s first Quant Trading Competition (FinHacks, 100+ participants)
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)
- AIQS — Quant Analyst
- NU Systematic Alpha — Quant Researcher
- NU Disrupt — Quant Team
- Poker Club · Putnam Club · Actuary Club
- Pacer — Charles River Marathon · Run Club · Triathlon Aspirant
- 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
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