Sajeev Rajput

Data Scientist

https://talent.gravityer.com/sajeev-rajput

intel

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with multiple programming languages relevant to data science, including Python, R, and Matlab.
Exposure to fundamental ML algorithms and frameworks like TensorFlow and Linear Regression.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards self-learning and exploration through numerous personal projects. The diversity of projects, ranging from fundamental algorithms to specific ML applications, suggests a proactive and curious mindset. The current role as a Data Scientist at Intel aligns well with the target role, indicating a clear career path.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment.

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Projects

TestGit

April 28, 2021 – April 28, 2021

TestGit — GitHub repository

View Project

tensorflow_experiments

December 16, 2017 – May 2, 2018

Codes with tensorflow experiments

View Project

HousingPrices

July 27, 2017 – July 29, 2017

predicting housing prices using Linear Regression

View Project

SentimentAnalysis

July 15, 2017 – July 16, 2017

SentimentAnalysis — GitHub repository

View Project

Further-Readings

May 11, 2017 – March 27, 2018

Further-Readings — GitHub repository

View Project

Study-Materials

May 4, 2017 – April 13, 2017

Study-Materials — GitHub repository

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ml-python

February 10, 2017 – July 4, 2018

py codes for ML algorithms

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Algorithms-DesignAndAnalysis

September 5, 2016 – September 18, 2016

codes for various algorithms fundamental to computer science

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machine-learning

August 31, 2016 – July 21, 2017

source codes for various ML algorithms

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R-Programming

August 31, 2016 – September 4, 2016

Source codes for various R functions

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with multiple programming languages relevant to data science, including Python, R, and Matlab.
Exposure to fundamental ML algorithms and frameworks like TensorFlow and Linear Regression.

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, indicating no completed assessment.

Sajeev Rajput

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit