Umang Jain

Business Analyst

Mumbai, Maharashtra, India1 yr 10 mos experience

Key Highlights

Reduced manual evaluation time by 70% in strategy research.
Enhanced trading algorithm accuracy by 60%.
Architected a complete data pipeline for model deployment.

Stackforce AI infers this person is a Fintech professional with strong backend and quantitative analysis expertise.

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Skills

Core Skills

PythonC++Node.js

Other Skills

API DevelopmentAsynchronous ProgrammingAutomationBack-End Web DevelopmentBashCCSSCode DesignData StructuresDjangoDocumentationExpress.jsFlaskFront-End DevelopmentHTML

About

With a strong foundation in Python, C++, and JavaScript, I currently work as a Quantitative Analyst at Dolat Capital, where I apply my expertise in software development, Linux, bash scripting, and analytics to solve complex problems and deliver data-driven insights. During my time at IIT Indore, I gained in-depth knowledge in machine learning and deep learning (using Keras, TensorFlow), databases (MySQL), and full-stack development (React, HTML, CSS, Node.js, Django, Flask). This diverse skill set enables me to contribute to end-to-end solutions and support innovative projects. I’m passionate about product development and thrive on tackling technical challenges with scalable, efficient solutions. Always eager to expand my technical abilities, I seek out opportunities to drive impactful change through technology.

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Dolat capital

Quantitative Analyst

Jun 2024 – Present · 1 yr 10 mos · Mumbai, Maharashtra, India · On-site

Developed and automated end-to-end strategy research and evaluation workflows in Python and C++, leveraging NumPy and Pandas for performance analysis and market-pattern detection—reducing manual evaluation time by 70% and enabling rapid, scalable iteration.
Debugged algorithms to resolve discrepancies between live trading and simulations, enhancing accuracy by 60% through improved modeling techniques.
Collaborated with developers to deploy complex strategies in C++, optimizing data structures to reduce latency and enhance execution speed, transforming key calculations from O(N) to O(1) complexity.
Architected a complete pipeline from data generation to model training and live deployment, improving storage efficiency through redundancy elimination and ensuring reproducibility, modularity, and robust error handling.
Automated tasks in a Linux environment with Bash scripting, cutting manual intervention by 5 hours/week and improving workflow efficiency by 10% through streamlined data analysis and testing.
Mentored interns and new hires within the team through training, code reviews, and workflow guidance, while also conducting interviews for quant developer roles across the organization.

PythonC++NumPyPandasLinuxBash+1

Jio platforms limited (jpl)

Software Engineer Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · Hybrid

Contributed to Node.js-based backend services powering machine learning workflows, focusing on API-driven development to streamline data flow between ML components and internal platforms.
Implemented and maintained backend components that facilitated integration with data pipelines used for model training and evaluation.
Identified and fixed performance bottlenecks in asynchronous data pipelines, improving runtime efficiency and reducing latency.
Refactored backend logic to improve modularity and maintainability, enabling smoother collaboration across ML and engineering teams.

Node.jsAPI DevelopmentAsynchronous Programming