Gayatri Dittakavi

Gayatri Dittakavi

Quant Researcher

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Hello there! I'm Gayatri

I'm a quantitative researcher studying macro-financial systems, stochastic modeling, and market microstructure at Columbia University.

I work at the intersection of econometrics, financial modeling, and system design — building frameworks where the math has to be right and the system actually works.

Explore My Research

What I've been working on

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Industrial Sector Equity Screening & Valuation Model

A sell-side-style industrials research build combining integrated 3-statement modelling, valuation, peer benchmarking, and macro-sensitive forecast attribution.

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Multi-Asset Portfolio Optimization via MIQP

An institutional portfolio construction framework using mixed-integer quadratic programming to enforce real-world allocation constraints across asset classes.

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Time-Series Momentum Strategy Across Asset Classes

A systematic cross-asset trend-following framework using trailing-return signals, volatility scaling, and long-horizon tearsheet analytics.

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Deep Reinforcement Learning for Dynamic Portfolio Allocation

A PPO-based allocation engine integrating NLP sentiment, macro regime features, options-implied volatility, and explainability for dynamic multi-asset investing.

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Departmental Research Assistant, ISERP Columbia

Applied causal-inference and count-data econometrics for policy research using quasi-Poisson regression, DiD design, and publication-ready empirical workflows.

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NITI Aayog, Economics and Finance Vertical

Policy research on state fiscal performance, logistics competitiveness, and external-sector decomposition for India's principal public-policy think tank.

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Commute Distance and Residential Characteristics: Weathering the Storm

An empirical transport-economics study linking residential characteristics, infrastructure conditions, and employment structure to commute distance outcomes.

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Limits to Commute: The Case of Indian Women

A gendered mobility study using empirical transport analysis to examine how socio-economic conditions constrain commute distance for women in urban India.

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Optimizing Urban Economic Potential Using MOORA and FUCA

A multi-criteria ranking framework for city districts that combines MOORA-style decision methods with urban-economic interpretation.

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Planning for a Fast Metropolizing Developing Economy

A research project on urban transition, planning pressure, and infrastructure strategy in rapidly expanding developing-economy contexts.

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Three Person-Two Cuts Problem

A mathematically rigorous fair-division study developing a maximin envy-free solution to a constrained cake-cutting problem.

Tech Stack

PythonNumpyPandasPandasMicrosoft AzureCC++DatabricksDjangoMicrosoft FabricFlaskMatplotlibMySQLOpenAIOpenCVPlotlyPower BIReactSeabornScikit-learn
2026 — Built by Gayatri Dittakavi