Hi There,
I'm Anurag Parmar

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About Me

About Me

Anurag Parmar - Full Stack Developer

I'm Anurag Parmar

AI & Full-Stack Developer

I am an AI & Full-Stack Developer passionate about building innovative, scalable solutions that combine intelligent systems with modern web technologies. Currently pursuing B.Tech in Computer Science at COER University, Roorkee. I specialize in Python, Web Development, with hands-on experience in technologies such as React.js, Node.js. Recently, I completed an InvestTech Investment Analyst Internship at ZeTheta Algorithms, where I worked on financial technology and quantitative research projects. My experience included developing convertible bond valuation models, analyzing market liquidity and order-book behavior, and building NLP-based sentiment analysis systems for trading insights using Python and data analysis tools. My key projects include an AI Assistant and a Specs Prescription Lens Solution that combines IoT with machine learning for practical healthcare use cases. I am actively strengthening my problem-solving skills through Data Structures & Algorithms in C++.

email : asp07660766@gmail.com

place : Roorkee, India - 247667

Skills & Abilities

Programming & Frameworks

Python Python
C++ C++

Web Development

HTML5 HTML5
CSS3 CSS3
JavaScript JavaScript
React.js React.js
Node.js Node.js
Express.js Express.js

Databases

MongoDB MongoDB

My Education

Education is not the learning of facts, but the training of the mind to think.

COER University Building

COER University, Roorkee

Bachelor of Technology in Computer Science

2024-2028 | Currently Pursuing

Bal Adarsh Vidhya Mandir School Building

Bal Adarsh Vidhya Mandir, Dholpur

Intermediate, Science Stream (RBSE)

2021-2023 | 78.6%

Ajay Shiksha Samiti Secondary School Building

Ajay Shiksha Samiti Secondary School, Baseri

High School (RBSE)

2021| 89%

My Experience

InvestTech Investment Analyst Intern

Zetheta Algorithms Private Limited | Remote

Jan 2026 – March 2026

Selected for the InvestTech Project Work Experience Program focused on financial technology and quantitative market research. Worked on real-world investment analysis and trading intelligence systems.

  • Developed convertible bond valuation models using binomial tree & credit spread analysis
  • Analyzed order-book data to detect phantom liquidity & manipulation signals
  • Performed market depth & liquidity distribution analysis
  • Built NLP-based sentiment analysis models for trading insights
  • Applied Python, financial modeling & data analytics in research workflows

Certifications & Achievements

Honorable Member, DISHA – The Guidance Committee

Organized and managed a National-Level Hackathon to promote innovation and problem-solving.

Internal Hackathon 3.0

Secured 4th rank with a team project (Internship Webpage).

Internal Hackathon 4.0

Built an AI-powered assistant like ChatGPT with voice communication.

Projects Made

Currently Working On

DSA in C++

Strengthening Data Structures and Algorithms skills in C++ for competitive programming.

Get in Touch