Suraj Deshmukh

Data Scientist

https://talent.gravityer.com/suraj-deshmukh

surajdeshmukh96@gmail.com

Pune, Maharashtra, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Keras-Multi-Label-Image-Classification' and 'BBC-Dataset-News-Classification'.
Proficiency in Python, a core language for Data Science, evident across multiple projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to parallel computing concepts (MPI, Cannon Algorithm, Jacobi Algorithm) which can be relevant for large-scale data processing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and related fields. The diversity of projects, from image classification to news classification and even web applications, suggests a proactive and curious individual. However, without professional experience or detailed project descriptions, it's difficult to fully assess collaboration or alignment with specific team cultures. The projects are primarily individual efforts.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate has no listed work experience or psychometric test results.

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Projects

CoWin-Vaccine-Slot-Monitoring-and-Auto-Booking

May 28, 2021 – Present

A Python Web Application for Checking vaccine slots by pincodes and auto slot booking.

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CoWin-Vaccination-Auto-Schedule

May 8, 2021 – June 1, 2021

A Python Script to Schedule Vaccination Appointment.

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Covid19India

May 10, 2020 – May 31, 2020

A Python3 Library to get India's Covid-19 Patient Count.

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BBC-Dataset-News-Classification

September 11, 2017 – September 12, 2017

BBC-Dataset-News-Classification — GitHub repository

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Active-Learning

March 22, 2017 – February 20, 2019

Active Learning using Multi Label Image Dataset

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Keras-Multi-Label-Image-Classification

November 17, 2016 – October 16, 2021

Keras- Multi Label Image Classification

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Hyperquick-Sort

November 12, 2015 – November 12, 2015

Hyperquick-Sort — GitHub repository

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jacobi-algorithm-in-c-using-mpi

October 28, 2015 – October 28, 2015

jacobi-algorithm-in-c-using-mpi — GitHub repository

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cannon-algorithm-in-c-using-mpi

October 28, 2015 – October 28, 2015

cannon-algorithm-in-c-using-mpi — GitHub repository

View Project

get_tweets

October 28, 2015 – October 10, 2016

get_tweets — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Keras-Multi-Label-Image-Classification' and 'BBC-Dataset-News-Classification'.
Proficiency in Python, a core language for Data Science, evident across multiple projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to parallel computing concepts (MPI, Cannon Algorithm, Jacobi Algorithm) which can be relevant for large-scale data processing.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate has no listed work experience or psychometric test results.

Suraj Deshmukh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit