Suhas G R

Data Scientist

https://talent.gravityer.com/suhas-g-r

MBA student in Finance and Business Analytics, passionate about solving business challenges through data insights, financial modeling, and collaboration.

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in data analysis through multiple personal projects.
Experience with SQL for data analysis tasks (Netflix, Retail Sales, Sales Trend).
Familiarity with Jupyter Notebook for data-related projects (Customer Analytics, Uber Rides, Customer Churn, Python_SQL).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a focus on data analysis and customer analytics, which aligns with a Data Scientist role. The diversity of projects (retail, HR, ride-sharing, churn prediction) indicates a broad interest in applying data science techniques across different domains. However, the lack of team projects or collaborative efforts makes it difficult to assess cultural fit beyond individual initiative.

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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Projects

SQL-Netflix-Data-Analysis

September 12, 2025 – September 12, 2025

SQL-Netflix-Data-Analysis — GitHub repository

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SQL-Retail-Sales-Analysis

September 11, 2025 – September 11, 2025

SQL-Retail-Sales-Analysis — GitHub repository

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Retail-Strategy-and-Customer-Analytics

September 7, 2025 – September 7, 2025

Retail-Strategy-and-Customer-Analytics — GitHub repository

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Customer-Analytics

September 7, 2025 – September 7, 2025

This project demonstrates how to perform experimentation and uplift testing using customer transaction data. The goal is to evaluate the impact of marketing trials (run in selected stores) by comparing them with control stores that have similar pre-trial performance.

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Uber-Rides-Data-Analysis

September 2, 2025 – September 2, 2025

Uber-Rides-Data-Analysis — GitHub repository

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Customer-Churn-Prediction-

August 20, 2025 – August 20, 2025

Customer-Churn-Prediction- — GitHub repository

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Sample-Sales-Dashboard

April 20, 2025 – April 20, 2025

Sample-Sales-Dashboard — GitHub repository

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Data-Analysis-using-Python_SQL

April 20, 2025 – April 20, 2025

Data-Analysis-using-Python_SQL — GitHub repository

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Sales-Trend-Analysis-Using-Aggregations

April 15, 2025 – April 15, 2025

Sales-Trend-Analysis-Using-Aggregations — GitHub repository

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Human-Resource-Dashboard

April 14, 2025 – April 14, 2025

Human-Resource-Dashboard — GitHub repository

View Project

Key Strengths

Demonstrated interest in data analysis through multiple personal projects.
Experience with SQL for data analysis tasks (Netflix, Retail Sales, Sales Trend).
Familiarity with Jupyter Notebook for data-related projects (Customer Analytics, Uber Rides, Customer Churn, Python_SQL).

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.

Suhas G R

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit