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Chingu V56
Data Scientist
June 14, 2026 – Present
RetailX
June 15, 2025 – July 7, 2025
Category-level profitability trends, customer demographic behavior (age/gender), high-value sales windows (day/hour), product pricing and margin inconsistencies.
View ProjectRock-Paper-Scissors-Game
June 12, 2025 – June 13, 2025
Rock-Paper-Scissors-Game — GitHub repository
View ProjectFOMO-O-Meter
June 11, 2025 – June 19, 2025
The FOMO-O-Meter is a Pine Script-based indicator that visualizes and quantifies emotional behavior in the market, specifically the psychological forces of Fear of Missing Out (FOMO) and panic selling.
View ProjectSentiment_Oscillator
April 6, 2025 – June 12, 2025
🚀 Developed and published a custom Pine Script indicator on TradingView — the Sentiment Oscillator. It’s designed to decode market mood by combining price action, volume, volatility, and long-term trend signals into a single visual sentiment score. Already crossed 150+ trader engagements in just a short time.
View Projectflappyme_game
October 4, 2024 – March 28, 2025
Inspired from a renowned FlappyBird Game the Flappyme Game shows my struggle in the college life, where I have to dodge Tests and Gaming simultaneously for a higher score.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and development, particularly in data science and web development. The 'Chingu V56' experience as a Data Scientist aligns with the target role. However, the diversity of projects (web games, financial indicators, data analysis) suggests a broad interest rather than a deep specialization, which could be a fit for dynamic environments but might require focus for specific roles. The experience level is listed as 0, which suggests this is an entry-level or very junior candidate, despite the target role being 'Data Scientist'.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new concepts, particularly in financial market analysis. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.