Anurag Parmar

Business Development Executive

Roorkee, Uttarakhand, India0 mo experience

Key Highlights

Built a real-time AI chatbot with <300ms response time.
Developed a 90%+ accurate eye-tracking system.
Automated data analysis workflows, reducing manual reporting time by ~40%.

Stackforce AI infers this person is a Full-Stack Developer with a strong focus on Fintech and AI integrations.

Contact

asp07660766@gmail.com LinkedIn

Skills

Core Skills

NlpFinancial ModelingData Analysis

Other Skills

PythonNLTKPandasNumPyBinomial Tree PricingOrder Book AnalysisInternet of Things (IoT)Algorithmic TradingC++Web DevelopmentPython (Programming Language)

About

Full-Stack Developer who builds real, working things — not just side projects. I'm a B.Tech Computer Science student at COER University, Roorkee (Class of 2028), focused on Full-Stack Development, AI integrations, and Computer Vision. I enjoy working across the entire stack — from designing REST APIs and optimizing backends to building responsive UIs that actually feel good to use. — What I've built — AI Assistant (MERN Stack) Real-time AI chatbot with <300ms response time. Integrated 2+ REST APIs, optimized Express.js backend (reduced API latency by ~30%), and built concurrent session support with dynamic prompt handling. Specs — Smart IoT Drowsiness Detection Real-time eye-tracking system using OpenCV + MediaPipe + Arduino with 90%+ alert accuracy. Also built an interactive 3D visualization of the system in React + Three.js so anyone can understand how it works at a glance. NLP Sentiment Pipeline (@ Zetheta Algorithms) Processed 5,000+ financial news articles using NLTK + Pandas — 80%+ classification accuracy to surface investment signals from unstructured text. — Let's connect if you are — • Building a product and need a full-stack dev who can ship • Offering a dev / AI / backend internship • Just want to talk tech, hackathons, or ideas 📬 asp07660766@gmail.com | 🌐 asp0766.netlify.app

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Zetheta algorithms private limited

InvestTech Investment Analyst

Jan 2026 – Mar 2026 · 2 mos · Remote - India · Remote

Selected for ZeTheta Algorithms' remote InvestTech research program — a structured work-experience engagement focused on financial technology, quantitative analysis, and data-driven investment research.
Key projects completed:
📌 Sentiment Analysis Trading
Built an end-to-end NLP pipeline in Python (NLTK, Pandas) that ingested and classified 5,000+ financial news articles with 80%+ accuracy. Used sentiment scores to surface actionable trading signals from unstructured text — bridging raw data and investment decision-making.
📌 Convertible Bond Laboratory
Developed bond valuation models using the Binomial Tree methodology and credit spread analysis to price hybrid securities. Improved valuation accuracy by ~15% compared to baseline estimates, gaining hands-on exposure to fixed-income instrument pricing.
📌 Phantom Liquidity Hunter
Analyzed real order-book data across 10+ securities to identify phantom liquidity — orders placed with no intent to execute — and flag potential market manipulation patterns. Applied Python (NumPy, Pandas) for data processing and pattern detection.
📌 Market Depth Explorer
Explored Level 2 market depth data to study liquidity distribution, bid-ask dynamics, and intraday trading behavior across multiple instruments.
Impact:
Automated data analysis workflows in Python, reducing manual reporting time by ~40%
Delivered all 4 research projects within program timeline with documented findings
Strengthened applied understanding of quantitative finance, NLP, and financial data pipelines
Skills: Python · NLTK · Pandas · NumPy · NLP · Financial Modeling · Binomial Tree Pricing · Data Analysis · Order Book Analysis