Shivangini Gupta

Data Scientist

https://www.opentalent.in/shivangini-gupta

Student at NIT DGP

Member since June 21, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'CommentLens' (NLP), 'Review_Helpfulness-Prediction' (supervised ML, TF-IDF, Logistic Regression), and 'clickbait-detection' (fine-tuned DistilBERT).
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with NLP techniques (embeddings, clustering, DistilBERT) and traditional ML algorithms (Logistic Regression).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate primarily showcases personal projects, indicating self-motivation and a proactive learning approach. The diversity of projects, ranging from web development to data science, suggests a broad interest, but also a potential lack of deep specialization in a single area. The target role is 'Data Scientist', and several projects align well with this, demonstrating a clear interest in the field. However, the absence of team-based projects or professional experience makes it difficult to assess collaboration or cultural fit in a professional setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.

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Projects

gridlock-parking-intelligence

June 21, 2026 – Present

gridlock-parking-intelligence — repository

View Project

commonroom

June 4, 2026 – Present

commonroom — repository

View Project

InkFlow

May 23, 2026 – Present

InkFlow — repository

View Project

dsa-practice

May 9, 2026 – Present

dsa-practice — repository

View Project

CommentLens

May 4, 2026 – Present

YouTube comment analysis tool using NLP (embeddings + clustering)

View Project

clickbait-detection

March 25, 2026 – Present

Clickbait headline detector using fine-tuned DistilBERT — 98.9% accuracy

View Project

wagtail-demo-site

March 15, 2026 – Present

Wagtail demo site with People section — GSoC 2026 proposal prototype for Demo website redesign

View Project

hackathon-portal

March 4, 2026 – Present

this is a website for hackathon

View Project

Review_Helpfulness-Prediction

February 21, 2026 – Present

A supervised machine learning project that predicts whether an Amazon product review will be marked as helpful using TF-IDF vectorization and Logistic Regression.

View Project

Study-Sphere

December 17, 2025 – Present

StudySphere is a modern web application designed to help students plan their studies, track daily productivity, and visualize learning consistency using analytics similar to LeetCode’s contribution heatmap.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'CommentLens' (NLP), 'Review_Helpfulness-Prediction' (supervised ML, TF-IDF, Logistic Regression), and 'clickbait-detection' (fine-tuned DistilBERT).
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with NLP techniques (embeddings, clustering, DistilBERT) and traditional ML algorithms (Logistic Regression).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.

Shivangini Gupta

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit