Ritik Pratap Singh

Data Scientist

https://talent.gravityer.com/ritik-pratap-singh

I am a tech enthusiastic

Greater Noida, Uttar Pradesh, India

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (e.g., TRUST, movie-recommendation-system-DGN, collaborative_filtering).
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with various machine learning concepts like recommendation systems (GNN-based, collaborative filtering) and predictive modeling (loan defaults).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards independent learning and project-based work, which could align well with a culture that values self-starters. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and communication in a team setting. The projects are diverse within the data science domain, showing a broad interest.

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

factshield

November 12, 2025 – December 12, 2025

RAG + must-cite summaries of long public documents with sentence-level factuality verification

View Project

movie-recommendation-system-DGN

October 26, 2025 – December 8, 2025

Objective is to develop a Graph Neural Network (GNN)-based recommendation system that predicts user–movie preferences as a link prediction problem. The model should optimize for top-N recommendation accuracy and provide personalized movie suggestions for each user.

View Project

gpsaggese.github.io

July 8, 2025 – Present

gpsaggese.github.io — GitHub repository

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investment-analyzer

April 15, 2025 – April 15, 2025

investment-analyzer — GitHub repository

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collaborative_filtering

April 12, 2025 – April 13, 2025

collaborative_filtering — GitHub repository

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TRUSTRRKK.github.io

December 15, 2024 – December 15, 2024

TRUSTRRKK.github.io — GitHub repository

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TRUSTRRKK-github.io

December 15, 2024 – December 15, 2024

For hosting the notebook

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TRUST

September 27, 2024 – December 15, 2024

TRUST: Targeted Risk Understanding & Scoring Technology aims to predict loan defaults using the Home Credit Default Risk dataset. By employing data science methodologies, we identify key risk factors and develop a machine learning model to help lenders make informed decisions, minimize financial losses, and enhance credit risk assessment.

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pollution-analysis-urban-us-cities

September 22, 2024 – September 22, 2024

Comprehensive analysis of pollution levels and their impact on public health in major U.S. cities

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tutorials

August 16, 2024 – Present

Causify system tutorials

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (e.g., TRUST, movie-recommendation-system-DGN, collaborative_filtering).
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with various machine learning concepts like recommendation systems (GNN-based, collaborative filtering) and predictive modeling (loan defaults).

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.

Ritik Pratap Singh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit