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Polaris School Of Technology
Data Scientist
June 14, 2026 – Present
StockPrediction
January 27, 2026 – Present
This project explores how historical stock market data can be analyzed and modeled to predict stock prices using data science techniques. The primary objective is to compare a traditional statistical time-series model (ARIMA) with a machine learning approach (Gradient Boosting) and evaluate their effectiveness on real-world financial data.
View ProjectOffline-Meeting-Copilot
January 24, 2026 – Present
This project was built to demonstrate, GenAI system design, agent-based reasoning, and production-style backend engineering
View ProjectSearch-Optimized-Catalog-API
November 22, 2025 – December 1, 2025
Search-Optimized-Catalog-API — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, including web development (HTML, CSS, JavaScript), blockchain (Solidity), and general programming (C++, Cuda). While this shows breadth, it also indicates a lack of focused depth specifically within the Data Scientist domain, which might impact cultural fit for a specialized role. The 'experienceLevel' is 0, and the only listed experience is a current 'Data Scientist' role starting in 2026, which is in the future, suggesting this is either an error or a planned future role, making current experience unclear. This lack of clear, relevant professional experience reduces cultural fit for a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.