PARAS

Data Scientist

https://talent.gravityer.com/paras-2

New Delhi, Delhi, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'AviationCrashReportAnalysis', 'Predictive-Analysis-On-Bank-Deposits', 'Crime-Prediction-Using-Random-Forest-Classifier', and 'Cryptocurrency-Sentiment-Analysis-Pipeline-using-NLP-and-XGBoost-with-Real-Time-APIs'.
Experience with Python, Jupyter Notebook, and relevant data science libraries (implied by project descriptions).
Exposure to various data science techniques including predictive analysis, sentiment analysis, and classification (Random Forest, XGBoost, NLP).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from data analysis to web development basics, indicates a broad interest, though focus on the target role is key. Lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Expenses-Spreetail

June 15, 2026 – Present

Expenses-Spreetail — GitHub repository

View Project

neetcode-submissions

May 29, 2026 – Present

My NeetCode.io problem submissions

View Project

Crime-Prediction-Using-Random-Forest-Classifier

May 24, 2026 – Present

Crime-Prediction-Using-Random-Forest-Classifier — GitHub repository

View Project

Cryptocurrency-Sentiment-Analysis-Pipeline-using-NLP-and-XGBoost-with-Real-Time-APIs

April 12, 2026 – Present

Cryptocurrency-Sentiment-Analysis-Pipeline-using-NLP-and-XGBoost-with-Real-Time-APIs — GitHub repository

View Project

Predictive-Analysis-On-Bank-Deposits

December 7, 2025 – Present

Predictive-Analysis-On-Bank-Deposits — GitHub repository

View Project

Data-Structures

May 17, 2025 – Present

Data-Structures — GitHub repository

View Project

AviationCrashReportAnalysis

April 12, 2025 – Present

AviationCrashReportAnalysis — GitHub repository

View Project

Budget-Management-AI-chatbot

April 5, 2025 – April 5, 2025

Budget-Management-AI-chatbot — GitHub repository

View Project

Git-Basics

December 14, 2023 – December 14, 2023

Git-Basics — GitHub repository

View Project

Restaurant-Reservation-Booking

December 14, 2023 – November 5, 2025

Restaurant-Reservation-Booking — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'AviationCrashReportAnalysis', 'Predictive-Analysis-On-Bank-Deposits', 'Crime-Prediction-Using-Random-Forest-Classifier', and 'Cryptocurrency-Sentiment-Analysis-Pipeline-using-NLP-and-XGBoost-with-Real-Time-APIs'.
Experience with Python, Jupyter Notebook, and relevant data science libraries (implied by project descriptions).
Exposure to various data science techniques including predictive analysis, sentiment analysis, and classification (Random Forest, XGBoost, NLP).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

PARAS

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit