
20 | senior year student
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ducky-cli
March 30, 2026 – Present
nodeJS cli for passive local AI-usage telemetry and session reporting.
View Projectfra-dss-latest
September 30, 2025 – September 30, 2025
AI-powered FRA Atlas and WebGIS-based Decision Support System (DSS) for Integrated Monitoring of Forest Rights Act (FRA) Implementation
View Projectmemory
September 4, 2025 – September 5, 2025
refined and advanced memory architecture for human like conversations
View ProjectPokemon-MCP-Server
August 10, 2025 – August 15, 2025
an mcp server that gives AI models access to comprehensive Pokémon data and battle simulation capabilities
View ProjectMath-Agentic-RAG
August 1, 2025 – August 2, 2025
math based ai agent that solves complex problems like integration and calculus
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and primarily focused on AI/ML and web development. While demonstrating initiative, the lack of team-based or open-source contributions, and the absence of diverse project types (e.g., data visualization, statistical modeling, big data infrastructure) makes it challenging to assess cultural fit for a collaborative Data Scientist role. The target role is 'Data Scientist', but many projects lean towards AI agent development and web interfaces rather than core data science methodologies like statistical analysis, predictive modeling, or data engineering. This suggests a potential misalignment with a traditional Data Scientist role, though it could fit a more specialized ML Engineer or AI Developer position.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like collaboration, problem-solving approach, or communication style. The psychometric test score is 0, indicating no data for logical reasoning, work attitude, stress handling, or team collaboration. Therefore, operational fit cannot be accurately determined from the provided data.