Anbu Nambi

Data Scientist

https://talent.gravityer.com/anbu-nambi

George Washington University

Member since June 28, 2026

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for data analysis and LLM integration.
Familiarity with SQL for data warehousing and problem-solving (LeetCode solutions).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, including LLM integration, data warehousing, and analytics dashboards, suggests a broad interest in data-related fields. However, the lack of professional experience beyond a future-dated role makes it difficult to fully assess cultural fit in a team environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

cyclistic-medallion-DLT-pipeline

March 24, 2026 – Present

cyclistic-medallion-DLT-pipeline — GitHub repository

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Leetcode-SQL-50-Solutions

March 24, 2026 – Present

Leetcode-SQL-50-Solutions — GitHub repository

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cyclistic-medallion-pipeline

March 24, 2026 – Present

cyclistic-medallion-pipeline — GitHub repository

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cdf-rag-chatbot

December 30, 2025 – Present

cdf-rag-chatbot — GitHub repository

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SQL-Data-Warehouse-Project

December 26, 2025 – Present

SQL-Data-Warehouse-Project — GitHub repository

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Cyclistic-Bike-Share-Case-Study

November 17, 2025 – Present

About End-to-end analysis of 12 months of Cyclistic rides using Python: ETL, data cleaning, feature engineering and recommendations to convert casual riders to members.

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Uber-Rides-Cancellations-Analytics-Dashboard

November 14, 2025 – Present

Uber-Rides-Cancellations-Analytics-Dashboard — GitHub repository

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Data-Insight-AI

November 9, 2025 – Present

Data Insights.AI is an interactive data analysis application powered by GPT-4 and Streamlit. This tool enables users to upload CSV files and generate insights, visualizations, and explanations through natural language queries, making data analysis accessible without requiring coding or data science expertise.

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llm-backend-integration

March 9, 2025 – April 7, 2025

llm-backend-integration — GitHub repository

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intern-react-ui-sample

June 26, 2021 – June 27, 2021

intern-react-ui-sample — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for data analysis and LLM integration.
Familiarity with SQL for data warehousing and problem-solving (LeetCode solutions).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.

Anbu Nambi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit