Summary
Overview
Work History
Education
Skills
Websites
Timeline
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Payal Yadav

Summary

Highly skilled Data Analyst with extensive experience in requirement analysis, software development, and database management. Proficient in designing and implementing predictive models and machine learning algorithms to drive business solutions. Demonstrates strong cross-functional understanding of information technology and business processes. Expertise in a range of programming languages and tools, including Python, SQL, and TensorFlow. Proven track record in enhancing recruitment processes and improving risk classification in the insurance sector. Adept at deploying machine learning models and conducting data analysis to generate actionable insights. Holds a Full Stack Data Science certification and has a solid
academic background in Mathematics.

Overview

2
2
years of professional experience

Work History

Data Analyst

PNB MetLife
12.2022 - Current
  • Recruitment Project: Developed a machine learning model to predict the success of FLS, enhancing the recruitment process and resulting in savings of ₹11 crore
  • Attrition Project: Developed models to predict employee attrition and identify key factors contributing to turnover
  • Early Claim Prediction: Built predictive models to classify customers into high-risk categories based on early mortality for the credit life channel, resulting in savings of ₹60 crore.

Data Scientist Intern

iNeuron.ai
Remote
07.2022 - 12.2022
  • Review Scrapper: Built an end-to-end project with a continuous integration and deployment pipeline, deployed on Heroku
  • Scraped reviews from Flipkart using BeautifulSoup
  • Implemented CI/CD pipeline using GitHub and MLOps
  • Link to Project
  • California Housing Prediction (ML Project): Developed a machine learning model to predict housing prices in California
  • Performed EDA, feature engineering, and hyperparameter tuning
  • Used Docker for CI/CD and deployed on Heroku
  • Link to Project
  • Spam Classification (NLP ML Project): Created a model to classify SMS/Emails as spam or ham using standard classifiers
  • Used Bag-of-Words for text vectorization and Random Forest Regressor for accuracy
  • Deployed using Flask and Heroku
  • Link to Project
  • Sales Project (Power BI Project): Collected data from the Global Store in the US, performed modeling, and created a visualization dashboard
  • Link to Project.

Education

Full Stack Data Science Course -

INeuron.ai
07.2022

Power BI Advanced Course -

05.2022

Microsoft Advanced Excel -

03.2022

M.Sc. Mathematics -

Miranda House, Delhi University
01.2022

B.Sc. Mathematics -

Satya Wati College, Delhi University
01.2019

Senior High School (PCM) -

P.R.T. Inter College, Shikohabad UP
01.2016

Skills

  • Python
  • SQL
  • TensorFlow
  • Keras
  • XGBoost
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Natural Language Processing (NLP)
  • Matplotlib
  • Seaborn
  • Plotly
  • Power BI
  • MySQL
  • PostgreSQL
  • MongoDB
  • SQLite
  • Azure
  • Git
  • GitHub
  • Descriptive and Inferential Statistics
  • Hypothesis Testing
  • A/B Testing

Websites

Timeline

Data Analyst

PNB MetLife
12.2022 - Current

Data Scientist Intern

iNeuron.ai
07.2022 - 12.2022

Full Stack Data Science Course -

INeuron.ai

Power BI Advanced Course -

Microsoft Advanced Excel -

M.Sc. Mathematics -

Miranda House, Delhi University

B.Sc. Mathematics -

Satya Wati College, Delhi University

Senior High School (PCM) -

P.R.T. Inter College, Shikohabad UP

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Payal Yadav