Shivam Kaushik

Data Scientist

https://www.opentalent.in/shivam-kaushik-2

Data Scientist

Tata 1mg

Key Strengths

Demonstrated interest in Machine Learning and Data Science through various personal projects (OMR-Scanner, deep_dream_textual_data, Mlachine-Learning-Exercises, Graph-Networks-for-Multiple-Object-Tracking, PCA-vs-LDA, Darts-Unet).
Practical experience with Python for data science and machine learning tasks.
Exposure to computer vision concepts (OMR-Scanner, Four-Point-Perspective-Transform).
Current role as Data Scientist at Tata 1mg indicates direct industry experience, though start date is in the future.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards self-learning and practical application through numerous personal projects. The diversity of projects, from computer vision to deep learning and basic ML exercises, suggests a broad interest within the data science domain. The current role as a Data Scientist aligns well with the target role, indicating a clear career path.

Soft Skills & Operational Fit

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

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Projects

Graph-Networks-for-Multiple-Object-Tracking

June 20, 2021 – June 20, 2021

Graph Networks for Multiple Object Tracking

View Project

math_behind_darts

August 29, 2020 – August 29, 2020

I explained math behind darts.

View Project

deep_dream_textual_data

August 19, 2020 – August 30, 2020

Extending the idea of deep dream to textual data.

View Project

PCA-vs-LDA

January 29, 2020 – January 29, 2020

This repo contains Notebooks that explain PCA and LDA

View Project

Darts-Unet

August 19, 2019 – February 13, 2020

Darts-Unet — GitHub repository

View Project

React-Couse-Exercise

February 1, 2019 – February 12, 2019

This repo consist of codelabs from https://www.udemy.com/react-the-complete-guide-incl-redux/ course. BTW this is an awesome course.

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Mlachine-Learning-Exercises

January 17, 2019 – February 9, 2019

These are solved python exercise for the course Machine Learning by Andrew Ng

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OMR-Scanner

October 7, 2018 – January 4, 2023

This project uses open cv to evaluate OMR sheets. We are trying to make this system as reliable as possible.

View Project

Interview-Questions-Practice

September 2, 2018 – October 31, 2018

This repo contains questions and solution approach from Interview Bit.

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Four-Point-Perspective-Transform

August 27, 2018 – August 27, 2018

This is my first try at perspective transform. Perspective transform is used by cam scanner like app to get bird's eye view of a part of image

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through various personal projects (OMR-Scanner, deep_dream_textual_data, Mlachine-Learning-Exercises, Graph-Networks-for-Multiple-Object-Tracking, PCA-vs-LDA, Darts-Unet).
Practical experience with Python for data science and machine learning tasks.
Exposure to computer vision concepts (OMR-Scanner, Four-Point-Perspective-Transform).
Current role as Data Scientist at Tata 1mg indicates direct industry experience, though start date is in the future.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Shivam Kaushik

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit