Prakash P V S S

Data Scientist

https://talent.gravityer.com/prakash-p-v-s-s

A deep learning enthusiast...

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'BreastSegmentation', 'CMUncleTheta', 'NanodegreeMLSmartCab', 'MLND_CustomerSegments', and 'UdacityMLNDCapstone'.
Experience with Python and Jupyter Notebook for data science tasks.
Exposure to various machine learning concepts including reinforcement learning and unsupervised learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards self-learning and exploration in data science and machine learning, which could indicate a proactive and curious mindset. However, the projects are all personal and lack team collaboration context. The diversity of technologies (Python, C++, PHP, HTML, CSS, JavaScript) suggests a broad interest, but also a potential lack of deep specialization in a single area relevant to the target role. The absence of professional experience or team projects makes it difficult to fully assess cultural fit.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

CMUncleTheta

December 15, 2022 – December 15, 2022

CMUncleTheta — GitHub repository

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sssihmsdashboard

March 5, 2019 – March 26, 2019

This contains test code to build a dashboard

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BreastSegmentation

October 23, 2017 – October 23, 2017

This Repo contains work done to segment Mass from Mammography Images

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CrossEntropyLossDerivation

September 15, 2017 – September 17, 2017

This Repository Contains Derivation for Differentiation of CrossEntropy Loss

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NanodegreeMLSmartCab

August 27, 2017 – September 5, 2017

This repository contains code submitted for Reinforcement learning project of ML Nanodegree

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MLND_CustomerSegments

May 28, 2017 – May 28, 2017

This contains the project submission for MLND Unsupervised learning part of the course

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UdacityMLNDCapstone

May 27, 2017 – August 6, 2017

This contains capstone Project for Udacity ML Nanodegree

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Common_type_traits-

March 13, 2017 – March 13, 2017

This Repository contains c++ Template implementations for the common type_traits .

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decltypeUsageC-11

February 12, 2017 – February 12, 2017

This has a small example of using decltype and SFINAE to know if a function exists at Compile time

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SWIGC-toC-

January 13, 2017 – January 13, 2017

This Repository contains C++ Code which is Wrapped using SWIG 3.0.8

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'BreastSegmentation', 'CMUncleTheta', 'NanodegreeMLSmartCab', 'MLND_CustomerSegments', and 'UdacityMLNDCapstone'.
Experience with Python and Jupyter Notebook for data science tasks.
Exposure to various machine learning concepts including reinforcement learning and unsupervised learning.

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.

Prakash P V S S

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit