Satwaj Dhavale

Data Scientist

https://talent.gravityer.com/satwaj-dhavale

Pursuing Bachelor's degree in Computer Engineering from Vidyalankar Institute of Technology,Mumbai.

Mumbai, Maharashtra, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like Sentiment Analysis, Video Game Sales Prediction, Human Activity Recognition, and Emotion Recognition.
Experience with Python, a core language for Data Science.
Exposure to concepts like Face Recognition and Attendance Systems, indicating practical application of computer vision.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects, though all personal, indicates a proactive learning attitude. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in 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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Projects

Android-Hello-World

December 2, 2020 – December 2, 2020

Android-Hello-World — GitHub repository

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Human-Activity-Recognition

September 18, 2020 – September 18, 2020

Human-Activity-Recognition — GitHub repository

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Hadoop

September 13, 2020 – September 13, 2020

Hadoop — GitHub repository

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Satwaj-Dhavale

September 13, 2020 – January 10, 2022

Satwaj-Dhavale — GitHub repository

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Video-Games-Sales-Prediction

March 31, 2020 – February 10, 2023

DWM Project

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Emotion-Recognition

March 18, 2020 – December 8, 2022

Used to describe the emotion of a person in an image or a video

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Sentiment-Analysis-of-Multimedia

March 6, 2020 – March 6, 2020

Used to describe the emotion of a person in an image or a video.

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Movie-Hangman

February 23, 2020 – March 6, 2020

Movie-Hangman — GitHub repository

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IBM-Watson

February 20, 2020 – February 20, 2020

IBM-Watson — GitHub repository

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Attendance-Using-Face-Recognition

February 15, 2020 – February 15, 2020

This project is to simplify the task of attendance marking. The traditional practices include attendance by roll calls and signing the attendance list. In this project, the faculty member just has to click a picture of the class and the program does the rest. The program determines which lecture it is and in which class it is, from the faculty member's time table and marks attendance in the proper excel sheet. The project also shows a graph of the attendance trends for a particular course around the semester. The project also calculates the defaulter list for students whose attendance is lesser than the given threshold

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like Sentiment Analysis, Video Game Sales Prediction, Human Activity Recognition, and Emotion Recognition.
Experience with Python, a core language for Data Science.
Exposure to concepts like Face Recognition and Attendance Systems, indicating practical application of computer vision.

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.

Satwaj Dhavale

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit