Ishan Goel

Data Scientist

https://talent.gravityer.com/ishan-goel-1

Member since June 29, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Multiple personal projects related to machine learning and data processing (e.g., PECNet-RC2020, vte-bert, trajectory-prediction-GRIP), indicating a strong interest and foundational knowledge in the target role.
Exposure to various data science related concepts through project descriptions, such as visual grounding and trajectory prediction.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research and development in machine learning and data science, which aligns well with an innovative and problem-solving culture. The diversity of projects, even if personal, suggests a proactive and self-driven individual. However, without information on collaborative projects or team roles, assessing team collaboration and broader cultural fit is limited.

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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Assessing your cultural and operational fit

Projects

FactHunt

April 29, 2023 – June 26, 2023

FactHunt — GitHub repository

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Aries_BTP

March 18, 2023 – April 12, 2023

Aries_BTP — GitHub repository

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Assignment-1

January 18, 2023 – February 22, 2023

Assignment-1 — GitHub repository

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Usec

November 18, 2022 – March 3, 2023

Usec — GitHub repository

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Usec-Simulator

November 15, 2022 – November 15, 2022

Usec-Simulator — GitHub repository

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Os-Lab

July 11, 2022 – July 11, 2022

Os-Lab — GitHub repository

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vte-bert

February 8, 2022 – May 3, 2022

Visual grounding with BERT based models (BTech project part 2 - IIT Kharagpur)

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SE-Lab

August 18, 2021 – August 18, 2021

SE-Lab — GitHub repository

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PECNet-RC2020

October 15, 2020 – July 1, 2022

This is the implementation of official PECNet used for the Reproducibility Challenge 2020

View Project

trajectory-prediction-GRIP

June 29, 2020 – July 1, 2022

Improve upon GRIP++

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Multiple personal projects related to machine learning and data processing (e.g., PECNet-RC2020, vte-bert, trajectory-prediction-GRIP), indicating a strong interest and foundational knowledge in the target role.
Exposure to various data science related concepts through project descriptions, such as visual grounding and trajectory prediction.

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.

Ishan Goel

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit