Samvram Sahu

Data Scientist

https://talent.gravityer.com/samvram-sahu

Developer to the deepest.

Thiruvananthapuram, Kerala, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'eigen_faces', 'SAS' (Smart Attendance System using MLSP), and 'Naive_Bayes_Classifier'.
Proficiency in Python, a core language for Data Science, as evidenced by its frequent use across multiple projects.
Experience with Jupyter Notebook, a common tool for data exploration and model development.
Exposure to Digital Image Processing ('DIP_2018') and related concepts, which can be relevant in certain Data Scientist roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a focus on personal exploration and learning, with a strong inclination towards machine learning and data-related topics. The diversity of projects, though all personal, indicates a self-starter attitude. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit within a collaborative work environment.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mock_allocation_IIST

June 1, 2019 – September 24, 2020

mock_allocation_IIST — GitHub repository

View Project

Research-and-Development

December 17, 2018 – June 15, 2021

Developing our own In-house products

View Project

RAICS_2018

December 3, 2018 – December 4, 2018

Tutorial for RAICS 2018

View Project

DIP_2018

October 15, 2018 – October 16, 2018

Digital Image Processing 2018

View Project

Jaggery

April 4, 2018 – February 12, 2019

Jaggery — GitHub repository

View Project

SAS

March 24, 2018 – May 7, 2018

Smart Attendance System for classrooms using MLSP

View Project

eigen_faces

March 20, 2018 – March 20, 2018

eigen_faces — GitHub repository

View Project

networkProject

February 24, 2018 – March 12, 2018

networkProject — GitHub repository

View Project

networking_python

February 15, 2018 – February 24, 2018

networking_python — GitHub repository

View Project

Naive_Bayes_Classifier

January 25, 2018 – February 20, 2018

Naive_Bayes_Classifier — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'eigen_faces', 'SAS' (Smart Attendance System using MLSP), and 'Naive_Bayes_Classifier'.
Proficiency in Python, a core language for Data Science, as evidenced by its frequent use across multiple projects.
Experience with Jupyter Notebook, a common tool for data exploration and model development.
Exposure to Digital Image Processing ('DIP_2018') and related concepts, which can be relevant in certain Data Scientist roles.

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 are available.

Samvram Sahu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit