Om Umare

Om Umare

Senior Quantitative Research Analyst

Machine Learning Engineer with expertise in quantitative finance, real-time applications, and advanced analytics platforms.

Resume

About Me

I'm a Senior Quantitative Research Analyst at London Stock Exchange Group, specializing in machine learning models for financial instruments and real-time applications. With a strong background in Computer Engineering and Machine Learning, I've developed expertise in quantitative finance, risk assessment, and advanced analytics.

Education

Drexel University

GPA: 3.8

  • M.S in Machine Learning Engineering
  • B.S in Computer Engineering
  • Minor in Mathematics and Finance

Technical Expertise

Programming Languages

C++, Python, Rust, C, VBA, MATLAB, Bash, C#, R, Linux

Development Tools

GitHub, CI/CD pipelines, Docker, Jira, Asana

Databases & Cloud

SQL, PostgreSQL, NoSQL, AWS, Azure, ETL architecture

Machine Learning

ML algorithms, deep learning, YOLO models, computer vision

Quantitative Models

SABR, GARCH, SV models, risk assessment, pricing models

Real-Time Systems

Low-latency applications, streaming data, WebSocket APIs

Financial Expertise

Fixed Income

Bond pricing, yield curve analysis, and fixed income derivatives

Options

Option pricing models, volatility analysis, and derivatives trading

Derivatives

Complex derivative instruments and structured products

Work Experience

Certifications

SIE

Securities Industry Essentials Examination

Series 86

Research Analyst Qualification Examination

CFA Level 1

Chartered Financial Analyst - Level 1 Passed

CFA Level 2

Chartered Financial Analyst - Level 2 Candidate (Aug '25)

Research & Publications

Long Distance Drone Detection

Research Project · Jan 2022 - Jul 2023

Pioneered advanced ML algorithm using YOLO model for robust object detection and tracking of long-range drone signatures.

Deep Learning in UAV Perception

IEEE ICCE 2024 · Las Vegas, NV

An Overview of Deep Learning in UAV Perception - Published at IEEE International Conference on Consumer Electronics.

Long-Range Drone Detection Dataset

IEEE ICCE 2024 · Las Vegas, NV

Novel dataset for long-range drone detection research - Published at IEEE International Conference on Consumer Electronics.

Get In Touch

Contact Information

Charlotte, NC

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