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Work History

I build at the intersection of quantitative research and applied economic analysis — from causal inference to systematic financial modeling.

Columbia University — ISERP

Departmental Research Assistant

October 2025 - December 2025

Causal Inference & Applied Econometrics

Applied quasi-Poisson regression and difference-in-differences designs to estimate causal policy impacts across economic datasets. :contentReference[oaicite:1]{index=1}
Diagnosed model robustness across specifications, conducting sensitivity checks and validating identification assumptions.
Produced publication-grade visualizations and empirical outputs supporting downstream academic research.

Independent Research

Macroeconomic Policy & Output Dynamics

June 2025

Monetary Transmission & Time-Series Econometrics

Constructed structured macroeconomic datasets (GDP, inflation, repo rates) from RBI and World Bank sources.
Built OLS and VAR models capturing monetary transmission into sectoral output (40–45% explanatory variation).
Performed stationarity, cointegration, and model selection diagnostics (AIC, BIC) across specifications.
Developed statistical dashboards tracing macro regime dynamics and policy transmission.

NITI Aayog

Research Intern — Economics and Finance Vertical

July 2024 - August 2024

Public Policy, Macroeconomics & Fiscal Systems

Redesigned fiscal performance rankings for 28 states using Wroclaw taxonomy. :contentReference[oaicite:2]{index=2}
Analyzed external sector dynamics contributing to ~12% YoY export growth.
Authored a 15-page logistics benchmarking report informing cost-reduction policy measures (~9%).

Dr. Nachiket Gosavi — SPIESR

Research Intern — Transport Economics

July 2022 - August 2023

Urban Economics, Labor Mobility & Infrastructure

Applied partial least squares path modeling across ~3,000 workers and 25 urban centers.
Linked transport infrastructure constraints to labor market outcomes using NSSO and census datasets.
Presented findings at national conferences informing urban policy discussions.

MPATH — India

Founder — HIV Surveillance & Spatial Modeling

July 2024 - Present

Geospatial Analytics & Public Health Modeling

Designed clustering pipelines (k-means, PCA) for identifying high-risk HIV prevalence zones.
Built reproducible data workflows integrating survey and clinical datasets.
Developed scalable analytical frameworks for epidemiological monitoring and intervention targeting.

Quantitative Research Projects

Systematic Strategies & Financial Modeling

2025 - Present

Asset Pricing, Optimization & Stochastic Systems

Built industrials-sector equity valuation models (DCF, EV/EBITDA) incorporating macro drivers such as PMI cycles and rate regimes. :contentReference[oaicite:3]{index=3}
Formulated multi-asset portfolio optimization using Mixed-Integer Quadratic Programming (Gurobi), encoding real-world constraints and benchmarking efficiency gains.
Developed cross-asset time-series momentum strategies with volatility scaling, backtested over long-horizon datasets with full performance diagnostics.
Designed reinforcement learning-based portfolio allocation systems integrating macro signals, NLP sentiment, and volatility surfaces, outperforming constrained MVO across risk-adjusted metrics.

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Education

Grounded in mathematics and economics, with graduate training in quantitative methods at Columbia University.

Columbia University in the City of New York

M.A. Quantitative Methods in the Social Sciences

August 2025 - December 2026

Graduate School of Arts and Sciences (QMSS Program) — Focus: Econometrics, Financial Economics, and Quantitative Research

Stochastic Processes & Applications, Advanced Econometrics, Statistical Methods for Finance, Time Series Analysis & Panel Data, Algorithmic Trading, Asset Allocation, NLP for Economic and Financial Data

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Lady Shri Ram College for Women, University of Delhi

B.Sc. (Hons) Mathematics, Minor in Economics

August 2021 - May 2024

First Class — Strong foundation in mathematical modeling, statistical inference, and economic theory

Real Analysis, Linear Algebra, Probability Theory, Mathematical Statistics, Optimization Techniques, Econometrics, Microeconomics, Macroeconomics

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Leadership

From founding a public health analytics initiative to contributing to academic research communities.

MPATH — India

Founder

July 2024 - Present

HIV Surveillance & Spatial Modeling Initiative

Founded and lead a public health analytics initiative focused on geospatial modeling of HIV prevalence across high-risk zones.
Designed clustering pipelines (k-means, PCA) to identify high-risk regions and built reproducible data workflows integrating survey and clinical datasets.
Developed scalable analytical frameworks for epidemiological monitoring and intervention targeting, working at the intersection of spatial statistics and public health policy.

Dr. Nachiket Gosavi — SPIESR

Research Collaborator — Transport Economics

July 2022 - August 2023

Urban Economics, Labor Mobility & Infrastructure

Applied partial least squares path modeling across ~3,000 workers and 25 urban centers to study transport-labor market linkages.
Linked transport infrastructure constraints to labor market outcomes using NSSO and census datasets.
Presented findings at national conferences (IMRC 2024, TPMDC 2024) informing urban mobility and policy discussions.

Columbia University — QMSS Program

Graduate Student Representative

August 2025 - Present

Academic Community & Peer Engagement

Actively engage with the broader QMSS cohort on collaborative research and coursework across econometrics, financial modeling, and quantitative methods.
Contribute to department-level discussions on curriculum, research methodology, and student academic initiatives.

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Co-Curriculars

Research, conferences, and community engagement beyond the classroom.

Conducted independent quantitative research spanning macro-financial systems, urban economics, and market microstructure, with work accepted at IMRC (IIM Ahmedabad) and TPMDC (IIT Bombay) and forthcoming in Transportation in Developing Economies.
Designed and implemented econometric pipelines (OLS, quasi-Poisson, DiD, panel models) to study mobility, infrastructure constraints, and labor-market dynamics, producing publication-grade outputs and policy-relevant insights.
Built end-to-end research systems integrating data ingestion, statistical modeling, and visualization, with a focus on translating empirical results into decision-relevant economic narratives.
Collaborated on multi-author academic work involving urban economic optimization (MOORA / entropy-based ranking) and spatial-economic modeling of developing regions.
Applied time-series and cross-sectional methods to macro-financial datasets, exploring regime-dependent dynamics in asset pricing, commodities, and monetary transmission.
Developed strong theoretical grounding in stochastic processes, statistical inference, and optimization through advanced coursework at Columbia, complementing applied research work.
Engaged in continuous technical upskilling across Python (NumPy, Pandas, PyTorch), econometrics, and financial modeling to support research and systematic strategy development.