Ayushi Mishra

Data Scientist

Gurugram, Haryana, India1 yr 6 mos experience

Key Highlights

  • Expert in credit risk analysis and machine learning.
  • Developed a high-performance credit risk scoring model.
  • Strong foundation in statistics and data analysis.
Stackforce AI infers this person is a Fintech Data Scientist with strong expertise in machine learning and credit risk analysis.

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Skills

Core Skills

Machine LearningCredit Risk Analysis

Other Skills

ANOVAData AnalysisData VisualizationDeep LearningEDAMicrosoft ExcelPCAProbability TheoryProblem SolvingProject ManagementPython (Programming Language)SQLStatistical InferenceStatisticsXGBoost

About

With a Master of Science in Statistics from Babasaheb Bhimrao Ambedkar University, my journey now unfolds at the Indian Institute of Management Bangalore, where I serve as an Academic Associate. Here, my statistical acumen meets the vibrant world of educational innovation. My recent tenure as a Data Scientist Intern at FinBox has further honed my expertise in credit risk analysis, feature engineering, and machine learning. I developed a credit risk scoring model using ML Algorithms and optimized risk assessment through techniques like PCA, missing value imputation, and latency analysis. Driven by data and innovation, I thrive on leveraging machine learning, deep learning, and NLP to solve complex analytical challenges

Experience

Paisabazaar

Data Scientist

Jun 2025Present · 9 mos · Gurugram, Haryana, India

Finbox

Data Scientist Intern

Jan 2025Mar 2025 · 2 mos · Gurugram, Haryana, India

  • Analyzed credit risk analysis including risk exercise, latency analysis, and impact analysis.
  • Performed feature engineering and feature reduction techniques like one-hot encoding, missing value imputation, PCA to improve model efficiency.
  • Developed a high-performance credit risk scoring model leveraging advanced machine learning techniques, including XGBoost. Optimized hyperparameters and feature engineering strategies to enhance predictive accuracy, achieving an impressive 71% AUC score. The model effectively identifies high-risk applicants, significantly improving risk assessment and decision-making processes.
credit risk analysisfeature engineeringmachine learningPCAmissing value imputationlatency analysis+1

Indian institute of management bangalore

Academic Associate

Apr 2024Jan 2025 · 9 mos · Bengaluru, Karnataka, India · On-site

Education

Babasaheb Bhimrao Ambedkar University (BBAU), Lucknow

Master of Science - MS — Statistics

Nov 2021Jun 2023

University of Lucknow

Bachelor of Science - BS — Mathematics and Statistics

Jul 2018Aug 2021

LUCKNOW PUBLIC SCHOOL

Intermediate — Science

Mar 2004Apr 2018

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