Swastik Satpathy

Data Scientist

https://talent.gravityer.com/swastik-satpathy

Machine Learning Beginner

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in data analysis and machine learning through personal projects.
Experience with R and Jupyter Notebook for data-related tasks.
Projects indicate an understanding of data cleaning, analysis, and basic machine learning concepts (e.g., imbalanced data handling).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on data science concepts. While this shows initiative, the lack of team-based or diverse industry projects makes it difficult to fully assess cultural fit for a collaborative professional environment. The experience level is 0, indicating a junior profile, which might require more mentorship and integration into a team culture.

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

Imbalanced-Data-with-SMOTE-Techniques

October 4, 2020 – October 6, 2020

This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalance in a binary classification problem.

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Bank-Marketing

September 23, 2020 – September 23, 2020

Bank-Marketing — GitHub repository

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NYC-Taxi-Trip-Duration-Prediction

September 23, 2020 – September 23, 2020

NYC-Taxi-Trip-Duration-Prediction — GitHub repository

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Python-Programming

September 23, 2020 – September 23, 2020

This repository contains small projects and assignments done in Python.

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CLT-Demonstration

September 1, 2020 – September 1, 2020

CLT-Demonstration — GitHub repository

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R-Programming

August 11, 2020 – August 11, 2020

This repository contains some of the R functions that I have created as part of my own learning process.

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Fine-particulate-matter

September 5, 2017 – September 5, 2017

Analyzing the National emissions inventory dataset for understanding the fine particulate matter concentration in United States.

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Hospital-quality-analysis

August 16, 2017 – August 16, 2017

A quality analysis of the US based hospitals about how the hospitals fair against each other in terms of the 30 day death mortality rates.

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YOUR

August 1, 2017 – August 1, 2017

Second assignment of R programming on Coursera

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Key Strengths

Demonstrated interest in data analysis and machine learning through personal projects.
Experience with R and Jupyter Notebook for data-related tasks.
Projects indicate an understanding of data cleaning, analysis, and basic machine learning concepts (e.g., imbalanced data handling).

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.

Swastik Satpathy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit