Bharath Kumar L

Data Scientist

https://talent.gravityer.com/bharath-kumar-l

Chennai, Tamil Nadu, IndiaMember since June 21, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Sleep-Disorder-Prediction' and 'multi_clf'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Project 'multi_clf' shows an understanding of applying ML/DL to real-world problems (medical condition detection).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a breadth of interest, including machine learning, cloud computing, and web development. This indicates a willingness to explore different technical domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit. The projects are primarily personal, which is common for an entry-level candidate.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Projects

CLOUD_LEAVE_MANAGEMENT_SYSTEM

November 26, 2025 – November 26, 2025

CLOUD_LEAVE_MANAGEMENT_SYSTEM — GitHub repository

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NIRF-REPORT-GENERATOR

November 22, 2025 – November 22, 2025

NIRF-REPORT-GENERATOR — GitHub repository

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CS19741-CLOUD-COMPUTING

November 15, 2025 – November 15, 2025

CS19741-CLOUD-COMPUTING — GitHub repository

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Government_Scheme_Chatbot

October 25, 2025 – Present

Government_Scheme_Chatbot — GitHub repository

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LEAVE_MANAGEMENT_SYSTEM

October 11, 2025 – November 26, 2025

LEAVE_MANAGEMENT_SYSTEM — GitHub repository

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CS19P18-DEEP-LEARNING-220701043

August 4, 2025 – September 21, 2025

CS19P18-DEEP-LEARNING-220701043 — GitHub repository

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CS19P21-ARPA

July 16, 2025 – September 17, 2025

CS19P21-ARPA — GitHub repository

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REC-CONFLICT

July 14, 2025 – July 15, 2025

REC-CONFLICT — GitHub repository

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multi_clf

March 22, 2025 – October 28, 2025

System for automated detection of multiple medical conditions using CT scans. The system supports both image and video inputs and is capable of detecting pneumonia, brain strokes, kidney stones, and spine fractures. It is designed with a modular architecture and provides a modern user interface for ease of use by medical professionals.

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Sleep-Disorder-Prediction

October 17, 2024 – December 23, 2024

The Sleep Disorder Prediction project uses machine learning to predict potential sleep disorders based on factors like age, gender, occupation, sleep duration, quality, physical activity, and stress levels. By analyzing these inputs, a LightGBM model with 90.67% accuracy forecasts conditions .

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Sleep-Disorder-Prediction' and 'multi_clf'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Project 'multi_clf' shows an understanding of applying ML/DL to real-world problems (medical condition detection).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Bharath Kumar L

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit