AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'lenet-5', 'movie-recommender-mcse', 'QPrice', and 'similarity-paintings'.
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with deep learning frameworks (TensorFlow/Keras) as shown in the 'lenet-5' project.
Exposure to various data-related tasks including image processing ('wikiart-artextract'), biometric pipelines ('Locus'), and recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, from web development to machine learning, suggests adaptability. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Samanvith Kashyap

Data Scientist

https://www.opentalent.in/samanvith-kashyap

BengaluruMember since June 14, 2026

https://www.opentalent.in/samanvith-kashyap

Top Skills

typescriptPythonHTMLCSSJavaScriptC++ShellMakefileJupyter Notebook

Skills

typescriptPythonHTMLCSSJavaScriptC++ShellMakefileJupyter Notebook

Projects

Link-Failure-Detection-and-Recovery

April 23, 2026 – Present

Link-Failure-Detection-and-Recovery — GitHub repository

View Project

PES2UG24CS432-PES-VCS

April 21, 2026 – Present

PES2UG24CS432-PES-VCS — GitHub repository

View Project

similarity-paintings

March 23, 2026 – Present

TensorTonic-Solutions

February 26, 2026 – Present

My solutions to TensorTonic problems

View Project

wikiart-artextract

February 24, 2026 – Present

wikiart-artextract — GitHub repository

View Project

Locus

February 2, 2026 – Present

Biometric pipeline with liveness detection and anti-spoofing

View Project

QPrice

November 14, 2025 – November 14, 2025

A QML model for options pricing

View Project

movie-recommender-mcse

November 10, 2025 – November 10, 2025

movie-recommender-mcse — GitHub repository

View Project

lenet-5

November 10, 2025 – December 10, 2025

Implementation of the LeNet-5 CNN architecture in TensorFlow/Keras to classify MNIST handwritten digits (98% Accuracy).

View Project

ctrlz

February 9, 2025 – February 9, 2025

Vercify

View Project

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'lenet-5', 'movie-recommender-mcse', 'QPrice', and 'similarity-paintings'.
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with deep learning frameworks (TensorFlow/Keras) as shown in the 'lenet-5' project.
Exposure to various data-related tasks including image processing ('wikiart-artextract'), biometric pipelines ('Locus'), and recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.