Help & Supportcareers@gravityer.com
🔢 Quantitative Analyst | Aspiring Quant Researcher 💻 Python | R | SQL | NumPy | Pandas | SciPy | scikit-learn 📊 Passionate about stochastic processes,
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stock-Market-Evaluation
October 22, 2025 – October 22, 2025
A production-ready Streamlit app for advanced technical analysis of financial markets. Automatically detects trend lines, support/resistance levels, and psychological price zones using sophisticated algorithms and real-time market data.
View ProjectQuantumTrade-Nexus
October 21, 2025 – October 22, 2025
Advanced Trading Intelligence Platform - Comprehensive financial analysis toolkit with 15+ technical indicators, algorithmic strategies, and real-time market intelligence
View Projectportfolio
October 13, 2025 – October 22, 2025
Professional portfolio showcasing AI/ML projects, algorithmic trading systems, and quantitative finance work. Built with Next.js, TypeScript, and TailwindCSS. Features real-time ECG monitoring, stock analysis AI, and ML pipeline automation.
View ProjectECG-Arrhythmia-Detection-IOS-app
October 13, 2025 – October 13, 2025
ECG-Arrhythmia-Detection-IOS-app — GitHub repository
View ProjectRuaroa-AI
September 30, 2025 – Present
🧙♂️ Zero-Code Machine Learning Wizard - Transform ideas into intelligent solutions without writing code. AI-powered ML pipeline automation with interactive web interface.
View ProjectAlgoStockGPT-AI
September 21, 2025 – September 21, 2025
🤖 Your personal AI financial analyst - Advanced stock analysis with GPT-4 | Real-time market insights | Professional trading interface
View Projectalgo-ultron-trading
January 15, 2025 – January 15, 2025
algo-ultron-trading — GitHub repository
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily focused on personal projects, primarily in AI/ML, algorithmic trading, and quantitative finance. This aligns well with the technical demands of a Quantitative Data Analyst role. The diversity of projects, from AI financial analysts to zero-code ML wizards, indicates a broad interest within the AI/ML space. However, the lack of formal experience or team-based projects makes it challenging to assess cultural fit in a collaborative professional environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and innovative approach to problem-solving, particularly in the AI/ML and finance domains. The focus on personal projects suggests self-motivation and a drive to learn and apply new technologies. However, without formal work experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or specific work attitudes.