---
title: "NITESH YADAV - Risk Analyst in Mumbai | Tal"
description: "Meet NITESH YADAV, Ex-Intern @ Morgan Stanley | MCA @ NITK | SDE, C++, Python, AI/ML based in Mumbai. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/nitesh-yadav/share-image"
---

# NITESH YADAV on Tal

## Headline

Ex\-Intern @ Morgan Stanley \| MCA @ NITK \| SDE, C\+\+, Python, AI/ML

## About

Recently completed my internship as a Risk Analyst Intern at Morgan Stanley, where I contributed to financial risk analysis by applying data science and software engineering skills\. My work involved performing quantitative risk analysis on financial datasets, developing Python\-based automation workflows to streamline reporting processes, and building dashboards that improved the visibility of key risk indicators for senior stakeholders\. Graduated with a Master of Computer Applications \(MCA\) from NIT Karnataka, with a strong foundation in computer science, mathematics, and software engineering\. Alongside academics, gained practical experience through AI training at Samsung Innovation Campus and full\-stack web development at Corizo\. Passionate about building scalable data\-driven solutions and leveraging AI, machine learning, and software engineering to solve real\-world problems\.

## Location

Mumbai

## AI stack

antigravity

codex

cursor

## Work experience

Risk Analyst at Morgan Stanley, Jan 2026 \- Jul 2026 · 7 mos, Mumbai, Maharashtra, India, Conduct quantitative risk analysis on live financial datasets, flagging anomalies and supporting risk decisions that impact multi\-million dollar portfolios in a fast\-paced trading environment\. Designed and automated data preparation workflows in Python, reducing manual reporting effort by an estimated 30–40% and improving turnaround time on weekly risk summaries\. Built and maintained analytical dashboards to monitor key risk indicators \(KRIs\) across portfolios, enhancing visibility for senior stakeholders in daily reviews\. Collaborated cross\-functionally with analysts and engineers to identify process inefficiencies, contributing to accuracy improvements in risk reporting pipelines\.

Trainee at Samsung Innovation Campus, Nov 2022 \- Feb 2023 · 4 mos, Lucknow, Uttar Pradesh, India, Completed training at Samsung Innovation Campus, learning Python and foundational AI algorithms while gaining hands\-on experience with libraries like NumPy, Pandas, and Matplotlib ect\. Developed a basic AI project, applying knowledge of data preprocessing, algorithm implementation, and visualization techniques\.

Software Developer at Corizo, Jul 2022 \- Aug 2022 · 2 mos, Developed an e\-commerce website using the MERN stack \(MongoDB, Express\.js, React\.js, Node\.js\), showcasing skills in full\-stack web development\. Collaborated with a team to understand the architecture and workflow of real\-world projects, enhancing problem\-solving and project management abilities\. Gained hands\-on experience in building scalable, responsive web applications, and integrating APIs for dynamic functionality\.

Internship Trainee at Corizo, Jun 2022 \- Jul 2022 · 2 mos, Completed training at Corizo, gaining proficiency in HTML, CSS, JavaScript, and the MERN stack \(MongoDB, Express\.js, React\.js, Node\.js\)\. Acquired foundational web development skills, including front\-end and back\-end technologies, preparing for real\-world project implementation\.

## Education

Master of Computer Applications \- MCA, Mathematics and Computer Science, National Institute of Technology Karnataka

Bachelor of Computer Application, WEB DEVELOPER, University of lucknow

[View the original profile](https://tal.club/meet/nitesh-yadav)

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