Shalini Baghel

Data Scientist

https://talent.gravityer.com/shalini-baghel

Building GenAI systems & predictive ML models — from training to deployment

Delhi, India

Key Strengths

Demonstrated interest in Machine Learning and Data Science through various personal projects.
Experience with common ML libraries like scikit-learn and algorithms such as XGBoost, Logistic Regression, and KNN.
Familiarity with Jupyter Notebook for data science workflows.
Exposure to large language models (StableDiffuserXLPipeline) for text-to-image generation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in the data science domain. The diversity of ML projects (churn prediction, spam detection, heart disease detection, medical chatbot, text-to-image generation) indicates a proactive and curious mindset, which could be a good cultural fit for an innovative team. However, the lack of team projects or professional experience makes it difficult to assess collaboration and broader cultural alignment.

Soft Skills & Operational Fit

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

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

Lead_Outreaching

March 15, 2026 – Present

My SaaS

View Project

End-to-End-Medical-Chatbot

February 23, 2026 – Present

End-to-End-Medical-Chatbot — GitHub repository

View Project

shalini6654.github.io

February 1, 2026 – Present

Code of my portfolio website

View Project

Spam-Detection-Classifier

January 28, 2026 – Present

This is my new machine learning model on Spam detection system by using scikit learn and predicting the categorical values by using Logistic Regression algorithm

View Project

Shalini6654

January 1, 2026 – Present

Shalini6654 — GitHub repository

View Project

Text-to-image-Generation-System

December 6, 2025 – December 6, 2025

This is my new pre trained model to generate image from a text by using StableDiffuserXLPipeline.

View Project

ai-code-review-bot

December 2, 2025 – December 3, 2025

ai-code-review-bot — GitHub repository

View Project

ECommerce_Customer_Churn_Prediction

November 29, 2025 – December 1, 2025

This is my new machine learning model on Customer churn prediction for ecommerce business by using scikit learn and predicting the categorical values by using XGBoost algorithm

View Project

NumPy

November 15, 2025 – November 15, 2025

Basic code of NumPy for practice.

View Project

Heart-Disease-Detection-ML_Model

September 28, 2025 – Present

This is my new machine learning on Heart Disease prediction by using scikit learn and predicting the categorical values by using KNN algorithm

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through various personal projects.
Experience with common ML libraries like scikit-learn and algorithms such as XGBoost, Logistic Regression, and KNN.
Familiarity with Jupyter Notebook for data science workflows.
Exposure to large language models (StableDiffuserXLPipeline) for text-to-image generation.

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.

Shalini Baghel

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit