CHANDRA PRAKASH TRIPATHI

Data Scientist

https://talent.gravityer.com/chandra-prakash-tripathi

Software Engineer | Snowflake Certified | Building AI-powered data systems

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science and AI/ML through multiple personal projects (e.g., foodiebot, STOCK_MARKET_FORECAST, AI_MEETING_SUMMARIZER, RESEARCH_AGENT).
Proficiency in Python, which is a core language for Data Science.
Experience with Jupyter Notebooks, a common tool in data exploration and model development.
Exposure to various domains within AI/ML, including forecasting, summarization, and agent development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong personal drive and interest in exploring various AI/ML applications. The diversity of projects suggests an inquisitive and self-motivated individual. However, without team-based project experience or psychometric data, assessing collaboration and broader cultural fit is not possible.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate has no listed work experience or psychometric test results.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

STOCK_MARKET_FORECAST

May 6, 2026 – Present

STOCK_MARKET_FORECAST — GitHub repository

View Project

weather_forecast_pipeline

May 1, 2026 – Present

weather_forecast_pipeline — GitHub repository

View Project

HANDS_WEB_MEDIAPIPE

April 8, 2026 – Present

HANDS_WEB_MEDIAPIPE — GitHub repository

View Project

NOTES

April 8, 2026 – Present

NOTES — GitHub repository

View Project

AI_MEETING_SUMMARIZER

April 4, 2026 – Present

AI_MEETING_SUMMARIZER — GitHub repository

View Project

RESEARCH_AGENT

April 4, 2026 – Present

RESEARCH_AGENT — GitHub repository

View Project

AUTOPILOT

March 31, 2026 – Present

AUTOPILOT — GitHub repository

View Project

autonomous-finance-etl

March 19, 2026 – Present

Snowflake autonomous ETL agent - CoCo Hackathon

View Project

frontend

March 13, 2026 – Present

frontend — GitHub repository

View Project

foodiebot

March 10, 2026 – Present

foodiebot — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and AI/ML through multiple personal projects (e.g., foodiebot, STOCK_MARKET_FORECAST, AI_MEETING_SUMMARIZER, RESEARCH_AGENT).
Proficiency in Python, which is a core language for Data Science.
Experience with Jupyter Notebooks, a common tool in data exploration and model development.
Exposure to various domains within AI/ML, including forecasting, summarization, and agent development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate has no listed work experience or psychometric test results.

CHANDRA PRAKASH TRIPATHI

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit