Prithviraj Dwivedy

Data Scientist

https://talent.gravityer.com/prithviraj-dwivedy

Engineering Graduate, BML Munjal University (2024) Data Engineer Intern @Edubot | Data Science, IIT Madras

Edubot

Key Strengths

Demonstrated experience with various machine learning models for clustering (KMeans, DBSCAN, Hierarchical) and classification (Toxic Comment Classification).
Proficiency in Python and Jupyter Notebook for data analysis and model development.
Experience with LLM-powered applications (Email-Assistant, Source-Code-Analysis, RAG-web-qa) using Gemini AI, LangChain, and Streamlit.
Practical application of data analysis techniques on real-world datasets (Netflix, Spotify, PhonePe, Customer Behavior, Energy Forecast).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal learning and exploration in data science and AI. The current role as a Data Scientist at Edubot aligns with the target role. However, the experience level is listed as 0, which contradicts the current full-time role, suggesting potential data inconsistency or very recent entry into the role. The projects are diverse within the data science domain, indicating a broad interest and willingness to tackle different problems.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Internship-Certificates

June 6, 2026 – Present

Internship and training completion certificates.\

View Project

Email-Assistant

June 6, 2026 – Present

AI-powered email generation assistant using Gemini AI, Streamlit, and prompt engineering.

View Project

Source-Code-Analysis

June 6, 2026 – Present

LLM-powered source code analysis tool using LangChain, ChromaDB, Flask, and Gemini AI.

View Project

spotify-genre-analysis

September 6, 2025 – September 6, 2025

spotify-genre-analysis — GitHub repository

View Project

rag-web-qa

September 4, 2025 – September 4, 2025

rag-web-qa — GitHub repository

View Project

netflix-clustering-analysis

July 3, 2025 – July 3, 2025

Unsupervised clustering of Netflix movies and TV shows using KMeans, DBSCAN, and Hierarchical clustering. Includes genre encoding, PCA visualization, and cluster evaluation with Silhouette and Davies-Bouldin metrics.

View Project

Customer_Behavior_Analysis

July 2, 2025 – July 2, 2025

Customer_Behavior_Analysis — GitHub repository

View Project

Toxic-Comment-Classification-MultiLabel

July 2, 2025 – July 2, 2025

A deep learning model for multi-label classification of toxic comments using focal loss

View Project

phonepe-transaction-insights

July 1, 2025 – July 1, 2025

Analysis of PhonePe transaction data using SQL, Python, and Power BI

View Project

powerpulse-energy-forecast

July 1, 2025 – July 1, 2025

forecast household energy usage using ML models

View Project

Key Strengths

Demonstrated experience with various machine learning models for clustering (KMeans, DBSCAN, Hierarchical) and classification (Toxic Comment Classification).
Proficiency in Python and Jupyter Notebook for data analysis and model development.
Experience with LLM-powered applications (Email-Assistant, Source-Code-Analysis, RAG-web-qa) using Gemini AI, LangChain, and Streamlit.
Practical application of data analysis techniques on real-world datasets (Netflix, Spotify, PhonePe, Customer Behavior, Energy Forecast).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Prithviraj Dwivedy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit