Aspiring Data Scientist with hands-on experience in Financial Market Prediction | Python | ML | Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ATTENTION-CRISIS
June 16, 2026 – Present
Understanding the hidden cost of endless scrolling and the battle for our attention.
View ProjectBitcoin-Market-Sentiment-
April 21, 2026 – Present
Relationship between trader performance and market sentiment, uncover hidden patterns, and deliver insights
View Projectrisk-engine
April 15, 2026 – Present
A high-performance quantitative finance platform for portfolio risk management, offering real-time [VaR, CVaR], stress testing, and pricing simulations.
View Projecttrader-sentiment-analysis
April 14, 2026 – Present
Analysis of trader performance vs market sentiment using Hyperliquid data
View Projectai-voice-translator
February 20, 2026 – Present
Real-time offline AI voice translator built with Python, Faster-Whisper, Argos Translate, and Coqui TTS. Converts speech to translated speech instantly with multi-language support, local processing, and optional audio saving.
View Projectdigital-asset-platform
December 15, 2025 – December 15, 2025
An end-to-end media asset management system for stock images and video libraries.
View ProjectCultural Fit Analysis
The candidate's projects are all personal, indicating self-driven learning and exploration. The diversity of projects, from web development to AI and finance, suggests a broad interest, but also a potential lack of deep specialization in a single area. Alignment with a 'Data Scientist' role is present in several projects, but the overall breadth might indicate a generalist profile rather than a focused data scientist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.