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Bhawna Gupta

Data Analyst | Data Scientist

MS in Data Science

Liverpool John Moores University, England, UK

Passionate Data scientist with good analytics and dashboard visualization skills. Proficient in comparative analysis of machine models for accurate results for the business decision process. Love to design good data storytelling for delivering compelling business values to clients.

My Work

End to End Machine Learning Application

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Restaurant Rating Prediction

This app predict the rating for the bengaluru city based  restaurant linked with zomato. 

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Loan Risk Prediction

This app predict the loan approval status of online application for lending club.

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Customer Segmentation

This app creates a customer group based on customer purchasing behavior.

Education & Experience

Experience

Data Science Intern

Nov 2022 - Dec 2022

@ iNeuron Intelligence Pvt Ltd

Developed a clustering model for customer segmentation and create three customer groups based on their purchasing capabilities using RFM analysis.

Research Assistant

@ Liverpool John Moores University

May 2020- Jun 2022

Developed model with SMOTE technique XGBoost and Stacking model achieved the highest performance about 99.86% AUC Score, 99.96% F1 and 99.86% G-mean.

Data Science Intern

Nov 2022 - Dec 2022

@ iNeuron Intelligence Pvt Ltd

Developed an ensemble model using a Decision Tree, Random Forest, and XGBoost to predict the rating of the restaurant.

Data Analytics Intern

@ Technocolabs

Jun 2021 - Jul 2021

Developed the classification model for loan default prediction with the highest AUC score of 71.3 %

Financial Analyst Officer

Jun 2015 - Sep 2019

@ Canara Bank

Prepared dashboard for the branch to identify the target customer based on their creditworthiness.

Education

MS in Data Science

Liverpool John Moores University, England, UK

Percentage: 71%

Equivalent WES score: 3.95/4.00

B.Tech in Computer Science & Engineering

BBS College of Engineering & Technology, UP, India

Percentage: 75%

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May 2020 - Jun 2022
Aug 2007 - Jun 2011

I'd love to hear from you.

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Contacts
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