Amit Singh Rathore

Data Scientist

https://talent.gravityer.com/amit-singh-rathore

Python Developer | Data Engineer | Moving into ML space

Hyderabad, Telangana, India

Key Strengths

Experience with time-series forecasting using LSTM for air pollution prediction, demonstrating practical application of deep learning.
Familiarity with AWS IoT and Amazon SageMaker for end-to-end IoT+ML projects.
Exposure to PySpark for implementing algorithms like Apriori, indicating distributed computing interest.
Projects involving Generative Adversarial Networks (GANs) for face generation, showing interest in advanced ML topics.
Multiple personal projects in Jupyter Notebook and Python, indicating hands-on experience with data science tools.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a strong interest in machine learning and data science, aligning with a Data Scientist role. The diversity of projects, from IoT+ML to GANs and market basket analysis, suggests a curious and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

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

amit-singh-rathore

June 10, 2021 – May 9, 2022

amit-singh-rathore — GitHub repository

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DEND

March 19, 2021 – March 19, 2021

DEND — GitHub repository

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tvscript

February 16, 2021 – February 16, 2021

tvscript — GitHub repository

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dogbreed

February 16, 2021 – February 16, 2021

dogbreed — GitHub repository

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DLND-GAN

January 22, 2021 – January 22, 2021

Generating faces using GAN.

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Starbucks-Capstone

November 29, 2020 – November 30, 2020

Udacity - ML Nanodegree Capstone

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sfn-state-definition-linter

November 11, 2020 – November 11, 2020

sfn-state-definition-linter — GitHub repository

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market-basket-analysis

October 31, 2020 – October 31, 2020

Implementing Apriori algorithm in PySpark

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capstone_project

September 11, 2020 – October 12, 2020

capstone_project — GitHub repository

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upgrad_capstore_iitm_aws_iotgreengrass_lstm

September 1, 2020 – October 19, 2020

A time-series forecasting model to predict air pollution levels for each day which enables maintenance of the air filtration system. This capstone project showcases how AWS IoT and Amazon SageMaker services can deliver an end-to-end IoT+ML project.

View Project

Key Strengths

Experience with time-series forecasting using LSTM for air pollution prediction, demonstrating practical application of deep learning.
Familiarity with AWS IoT and Amazon SageMaker for end-to-end IoT+ML projects.
Exposure to PySpark for implementing algorithms like Apriori, indicating distributed computing interest.
Projects involving Generative Adversarial Networks (GANs) for face generation, showing interest in advanced ML topics.
Multiple personal projects in Jupyter Notebook and Python, indicating hands-on experience with data science tools.

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.

Amit Singh Rathore

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit