Navina M

Data Scientist

https://talent.gravityer.com/navina-m

Amazon

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook for data analysis and scripting.
Exposure to SQL (TSQL, PL/pgSQL) for data manipulation and analytics.
Familiarity with AWS serverless components (S3, Lambda, Glue, Athena) for ETL pipelines.
Experience with data visualization tools like PowerBI and Tableau.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data science and analytics, aligning with the target role. However, the projects are predominantly personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit. The breadth of technologies used is good for a data scientist, but the depth of experience in each is unclear.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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

Scalable-Fraud-Risk-Triage-Analytics-System

March 11, 2026 – Present

Scalable-Fraud-Risk-Triage-Analytics-System — GitHub repository

View Project

SQL_Analytics

January 31, 2026 – Present

SQL_Analytics — GitHub repository

View Project

AWS_Serverless_ETL_Pipeline

November 4, 2025 – November 4, 2025

Amazon S3, AWS Lambda, AWS Glue, Amazon Athena, AWS IAM & Amazon CloudWatch

View Project

Insurance_Data_Analysis

September 5, 2025 – September 7, 2025

PowerBI Project

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Apple_Global_Sales_Analysis

September 5, 2025 – September 5, 2025

Excel Project

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Yelp_Business_Review_Analysis

September 4, 2025 – Present

Yelp_Business_Review_Analysis — GitHub repository

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Superstores_Tableau

March 30, 2025 – September 5, 2025

Tableau project

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Portfolio

October 26, 2024 – Present

Navina

View Project

Psyliq

November 25, 2023 – November 25, 2023

Psyliq — GitHub repository

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TWSIP

September 22, 2023 – September 23, 2023

TWSIP — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python and Jupyter Notebook for data analysis and scripting.
Exposure to SQL (TSQL, PL/pgSQL) for data manipulation and analytics.
Familiarity with AWS serverless components (S3, Lambda, Glue, Athena) for ETL pipelines.
Experience with data visualization tools like PowerBI and Tableau.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Navina M

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit