Siddhant Katyan

Data Scientist

https://talent.gravityer.com/siddhant-katyan

Erdős Number 4

IIIT-Hyderabad

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like "GlasXC" and "NLP_MOOC".
Experience with Python, a core language for Data Science.
Exposure to various mathematical and scientific computing tools (Matlab, Julia, C++).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration. However, the diversity of projects is broad, ranging from web development to numerical methods, which might suggest a lack of focused specialization for a senior Data Scientist role. The single listed professional experience is current and recent, making it difficult to assess long-term cultural fit or team collaboration experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Projects

e2e-lidar-registration

December 6, 2025 – December 6, 2025

End-to-End LiDAR optimization for 3D point cloud registration

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GlasXC

January 10, 2020 – June 22, 2022

Implementation of "Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces-NIPS'19"

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Two-Grid-Preconditioner

July 31, 2019 – July 31, 2019

This is an implementation of multiplicative deflated two-grid preconditioner for GMRES.

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GEVS

April 9, 2019 – January 10, 2020

Generalized Eigenvalue Problem Solver

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lvsn.github.io

April 2, 2019 – Present

lvsn.github.io — GitHub repository

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Research-Paper-Reading

January 29, 2019 – January 10, 2020

Repository for Research Papers - Read / To Read

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Flood_Prediction

October 12, 2018 – October 12, 2018

This repository contains files and codes related to codefundo 2018

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-One-Shot-Detection-without-any-prior-Training

September 29, 2018 – January 10, 2020

This project was an end semester project for the course Digital Image Processing

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NLP_MOOC

April 2, 2017 – April 2, 2017

This repository contains code for an Introductory MOOC on Natural Language Processing using NLTK

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Project_Euler

April 1, 2017 – April 1, 2017

This repository contains my solutions to Project Euler Problems in Python 2.7

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like "GlasXC" and "NLP_MOOC".
Experience with Python, a core language for Data Science.
Exposure to various mathematical and scientific computing tools (Matlab, Julia, C++).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Siddhant Katyan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit