Pranav B

Machine Learning

https://talent.gravityer.com/pranav-b

Machine Learning | Data Science

Bengaluru, Karnataka, IndiaMember since June 13, 2026

Key Strengths

Demonstrated interest in Machine Learning and Computer Vision through personal projects like 'Social-Distance-Detector' and 'Machines-and-Sentiments'.
Experience with Python and Jupyter Notebook, which are core tools in the Machine Learning domain.
Projects like 'SOMs' indicate an understanding of unsupervised learning algorithms.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. The diversity of projects, from computer vision to sentiment analysis and data visualization, suggests a broad interest within the Machine Learning field. However, without team-based project descriptions or work experience, assessing collaboration and cultural alignment with a professional team is challenging.

Soft Skills & Operational Fit

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

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Projects

cricket-eda-tool

February 21, 2026 – Present

cricket-eda-tool — GitHub repository

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FlexYoga

December 13, 2022 – December 14, 2022

FlexYoga — GitHub repository

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18CSC305J-Artificial-Intelligence-Project

April 18, 2022 – April 19, 2022

18CSC305J-Artificial-Intelligence-Project — GitHub repository

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Social-Distance-Detector

September 11, 2021 – October 14, 2022

Real-Time Social Distance Monitoring tool using Computer Vision

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SOMs

April 21, 2021 – April 21, 2021

Implementing Self Organising Maps from Scratch, an Unsupervised Machine Learning Algorithm where we map a high dimensional vector to a 2D space

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DigiBus

April 15, 2021 – April 23, 2022

Fourth Semester SEPM Project Repository

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git-101

March 18, 2021 – January 31, 2025

Session on Git

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ResAttNet

January 20, 2021 – November 19, 2025

Repository of Team Lynx for ResCon 2021

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Machines-and-Sentiments

September 13, 2020 – September 19, 2020

Our project provides a review system that aims to use sentiment analysis to predict the nature of a review entered by the user.It also has a movie recommender system that recommends a set of movies that the user would like to watch, based on a movie that the user enters. In order to help the user we have made a bot - ROBO to assist the user.

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Comparing-Real-Madrid-CF-s-2011-12-League-Winning-Team-with-the-2016-17-League-Winning-Team

September 2, 2020 – March 18, 2021

Here we compare and visualise the performance of Real Madrid CF in the 2011-12 and 2016-17 seasons. These 2 seasons were selected as the respective teams were considered as one of the best teams of the 2010 decade.

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Key Strengths

Demonstrated interest in Machine Learning and Computer Vision through personal projects like 'Social-Distance-Detector' and 'Machines-and-Sentiments'.
Experience with Python and Jupyter Notebook, which are core tools in the Machine Learning domain.
Projects like 'SOMs' indicate an understanding of unsupervised learning algorithms.

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 are available.

Pranav B

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit