Curriculum Vitae
Resume & Qualifications
Detailed overview of education, technical capabilities, projects, and practical full-stack engineering experience.
Parmeet Singh
AI & Data Science Graduate | Software & ML Developer
Professional Summary
AI & Data Science graduate with a strong interest in software development, artificial intelligence, and machine learning. Skilled in Python and web development, with a focus on learning new technologies and building practical solutions.
Education
B.Tech
2021 - 2025
Guru Tegh Bahadur Institute of Technology (AICTE) • AI and Data Science
• Grade: 9 CGPA
Class 12th
2021
S.S Mota Singh Model School (CBSE) • Senior Secondary Education
• Grade: 86.8%
Class 10th
2019
S.S Mota Singh Model School (CBSE) • Secondary Education
• Grade: 87.5%
Technical Skills
Backend & Architecture:
Python, Django 5.x, PostgreSQL, RESTful APIs, SQL & Relational DBs
Frontend & UI Systems:
JavaScript (ES6+), HTML5 Canvas VFX, Modern CSS Systems, Responsive UI
AI & Machine Learning:
Machine Learning, Computer Vision (OpenCV), Data Analysis, Deep Learning
DevOps, Tools & Cloud:
Git & GitHub, Vercel Serverless, Cloudinary, Google Antigravity
Experience
Associate Engineer – Intern (Data Analytics)
Jul 2023 – Aug 2023
Proeffico Solutions Pvt. Ltd. • New Delhi, India
- Analyzed customer data using Python libraries to identify patterns in credit history and segment customers based on relevant characteristics.
- Worked with a medical center dataset to derive meaningful patterns, perform data analysis, and support the development of data-driven solutions.
Projects
TourCraze – Full-Stack Travel Planner & Group Expense Platform
- Developed a full-stack travel platform with automated itinerary generation, destination discovery, hotel search, and travel community features.
- Built TripSplit, a group expense management system using a greedy debt-simplification algorithm to reduce the number of settlement transactions.
- Implemented responsive interfaces with JavaScript, AJAX/Fetch API, Django ORM, and REST APIs, including search, social feeds, interactive maps, and user authentication.
TradeLab – AI Trading Platform & Automated Chart Pattern Detection
Python, Django, PyTorch, OpenCV, Gemini API, Pine Script •
Live Demo ↗ •
GitHub ↗ •
Case Study
- Developed a full-stack trading analysis platform using Django, integrating automated chart pattern detection and custom TradingView indicators.
- Built a YOLOv5 computer vision model trained on 1,450+ annotated trading charts to detect 20 technical chart patterns.
- Developed Pine Script indicators with EMA-based trend filters, candlestick pattern detection, and ATR-based stop-loss and take-profit calculations.
Stock Market Analysis
- Analyzed datasets of various stocks, using Python libraries to visualize patterns in charts. Applied machine learning models to predict next-day buy/sell signals, enhancing stock market analysis and decision-making.
Certifications
- Python Web Developer (Grade B) — Infosys Foundation & ICT Academy (Finishing School for Employability) (Nov 2024 • C.No: G-2024-G3997-0027)
- Certificate of Recognition – Data Analytics Intern — Proeffico Solutions Pvt Ltd (Aug 2023)
- AI Algorithmic Trading: Buy/Sell Signal [Python] — Udemy (Instructor: Ali Abdoli) (Jul 2024 • 11.5 Hours)
- Complete Machine Learning & Data Science Bootcamp 2023 — Udemy (Instructors: Andrei Neagoie, Daniel Bourke) (Aug 2023 • 44 Hours)