Dhruv Jani
Researcher · Builder

Dhruv
Jani

I turn complex problems into clear, data-driven decisions.

Dhruv Jani
Operations Research Quantitative Finance Machine Learning Data Strategy Operations Research Quantitative Finance Machine Learning Data Strategy

About

01
"The best models don't just describe the world — they reveal where it's going."

I recently graduated from Columbia University with a Master's in Operations Research & Analytics. My work sits at the intersection of quantitative finance, machine learning, and data-driven strategy.

I've built things with Apple, NIH, NYGC, and UC Davis. Right now, I'm focused on financial modeling and applying mathematical models to market-oriented problems.

Experience

02
May 2026 — Present
Stealth AI Startup

Analytics Engineer

May 2026 — Present
Jun 2025 — Present
Columbia University Irving Medical Center

Data Scientist

Jun 2026 — Present

Research Analyst

Jun 2025 — May 2026
Jan 2025 — Jun 2025
NYC Public Schools

Data Analyst

Jan 2025 — Jun 2025
Sep 2024 — Dec 2024
Numeraxial LLC

Quantitative Analyst

Sep 2024 — Dec 2024
Jun 2024 — Aug 2024
New York Genome Center

Computational Research Assistant @ Vickovic Lab

Jun 2024 — Aug 2024
Jan 2024 — Mar 2024
Layman, Ltd.

Data Science Fellow

Jan 2024 — Mar 2024
Dec 2022 — Jun 2023
UC Davis Graduate School of Management

Data Analyst

Dec 2022 — Jun 2023
Jun 2022 — Aug 2022
Apple

Summer Intern

Jun 2022 — Aug 2022
Jun 2021 — Jun 2022
UC Davis

Student Assistant

Jun 2021 — Jun 2022

Education

03
2023 — 2024

Columbia University

MS Operations Research & Financial Engineering

2019 — 2023

University of California, Davis

BS Mathematical Analytics & Statistics — magna cum laude

Projects

04
01

Stock Market Dashboard

Interactive forecasting, risk metrics, and portfolio analysis.

02

Text-2-Image Generation

GAN-based image generation from natural language prompts.

03

Drug Discovery with GNNs

Protein-ligand binding affinity with Graph Neural Networks.

04

Image Segmentation via Min-Cut

Discrete optimization approach to image segmentation.

05

U-Net Medical Imaging

Medical image segmentation pipeline using PyTorch.

06

Nifty50 Financial Analysis

Risk metrics, portfolio returns, and technical indicators.