Tapesh Chandra Das

Data Scientist

https://talent.gravityer.com/tapesh-chandra-das

IndiaMember since June 23, 2026

Key Strengths

Demonstrated interest in Data Science and AI through multiple personal projects (e.g., 'ai-native-hedge-fund', 'Credit-Risk-Analysis', 'Financial-anomaly-detection', 'Speech-to-text').
Proficiency in Python, a core language for Data Science, evident across numerous projects.
Experience with Jupyter Notebooks for data analysis and model development.
Exposure to LLM execution tracing and profiling ('tracelm') indicates an understanding of advanced AI/ML tooling.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal, self-driven initiatives, which could indicate a proactive and curious mindset. The diversity of projects, from observability tools to financial analysis and AI prototypes, suggests a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects align well with a Data Scientist role, particularly those focused on financial analysis and AI.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mcp-observer

March 25, 2026 – Present

Open source MCP observability: proxy traffic, inspect traces, replay calls, diff schemas, and alert on failures.

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ai-native-hedge-fund

March 1, 2026 – Present

Free AI-native hedge fund prototype with local agents, backtesting, and Alpaca paper execution

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tracelm

February 19, 2026 – Present

Lightweight distributed LLM execution tracer and profiler for Python, with W3C trace propagation, CLI analysis, FastAPI/requests integrations, and local SQLite-backed trace inspection.

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Financial-anomaly-detection

May 1, 2024 – May 1, 2024

Financial-anomaly-detection — repository

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Pet-pose-estimation

April 29, 2024 – May 6, 2024

Pet-pose-estimation — repository

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Video-kyc

March 14, 2024 – March 18, 2024

Video-kyc — repository

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cafe-management

February 18, 2024 – February 18, 2024

cafe-management — repository

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Speech-to-text

February 3, 2024 – February 3, 2024

Speech-to-text — repository

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Credit-Risk-Analysis

November 14, 2023 – April 29, 2024

Credit-Risk-Analysis — repository

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pdf_extractor

September 13, 2023 – May 5, 2024

pdf_extractor — repository

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Key Strengths

Demonstrated interest in Data Science and AI through multiple personal projects (e.g., 'ai-native-hedge-fund', 'Credit-Risk-Analysis', 'Financial-anomaly-detection', 'Speech-to-text').
Proficiency in Python, a core language for Data Science, evident across numerous projects.
Experience with Jupyter Notebooks for data analysis and model development.
Exposure to LLM execution tracing and profiling ('tracelm') indicates an understanding of advanced AI/ML tooling.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Tapesh Chandra Das

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit