Summary
Overview
Education
Skills
Projects
Certification
Timeline
Generic

Annu Yadav

Data Analyst
Delhi

Summary

Detail-oriented Data Science professional with a strong technical background in AI/ML, proficient in Python, SQL, and data analytics. Proven ability to drive end-to-end machine learning projects, delivering high-impact solutions and insights. Strong quantitative and analytical skills, with a solid understanding of the machine learning lifecycle. Passionate about contributing to innovative AI product development and enhancing user experience.

Overview

6
6
years of post-secondary education
1
1
Certification
2
2
Languages

Education

Master of Science - Mathematics

Delhi University
01.2016 - 01.2019

Bachelor of Science - Mathematics with Honors

Delhi University
01.2012 - 01.2015

Skills

Programming Languages: Python, SQL

Projects

Real Estate Price Prediction
2023-2024

  • Developed a predictive model achieving 95% accuracy using Linear Regression and advanced regression algorithms, analyzing thousands of historical transactions.
  • Engineered domain-specific features including house age, square footage, and remodel years, enhancing model performance.
  • Conducted feature selection using f_regression and correlation analysis, leading to R² scores above 0.90 on validation datasets.
  • Technologies Used: Python, Scikit-learn, Pandas, Matplotlib.


Return Order Classification
2023-2024

  • Created a machine learning model predicting product returns to aid businesses in reducing return rates and improving customer satisfaction.
  • Conducted detailed exploratory data analysis and data visualization, resulting in the engineering of impactful features such as Product Return Count and Product Return Ratio.
  • Utilized logistic regression and random forest classifiers, evaluated using ROC-AUC metrics to ensure robustness.
  • Technologies Used: Python, Scikit-learn, Pandas, Matplotlib, Seaborn.


Marketing & Revenue Insights from Customer Segmentation
2023-2024

  • Analyzed customer behavior to derive insights on in-store experiences, using PCA for dimensionality reduction and KMeans for clustering.
  • Performed statistical tests including ANOVA and two-sample t-tests to validate insights, aiding strategic decision-making.
  • Technologies Used: Python, Scikit-learn, Pandas, Seaborn.

Certification

Data Science using Python, Analytixlabs, 01/01/23 - 09/30/24

Timeline

Master of Science - Mathematics

Delhi University
01.2016 - 01.2019

Bachelor of Science - Mathematics with Honors

Delhi University
01.2012 - 01.2015
Annu YadavData Analyst