Pooja Khedkar

About

Active learner in the world of data

Education

• B.E.
  HSBPVT's GOI Kashti
  Computer Engineering · 2026
• HSC (XII)
  Navjeevan College
  2023

Skills

• SQL
• Data Preprocessing
• Python
• Java
• Clustering
• Classification
• Feature Engineering
• Matplotlib
• Model Evaluation
• NumPy
• Pandas
• Streamlit
• scikit-learn
• Seaborn
• Neural Networks
• Regression
• Visual Studio Code

Projects

• Sentiment Analysis of IMDB
  NLTK, TF-IDF, PyTorch, RNN

  Preprocessed IMDB reviews, converted text features into PyTorch tensors, and built, trained, and evaluated an RNN model for binary sentiment classification, achieving 85.15% accuracy.

• SmartCard Clustering System
  Python, machine learning, clustering

  Built a customer segmentation system using unsupervised machine learning and transaction data. Applied feature encoding, preprocessing, Elbow Method, and Silhouette Score to identify customer segments and purchasing patterns.

• CreditWise – Loan Eligibility Predictor
  Python, KNN, Logistic Regression, Naive Bayes

  Built a supervised ML pipeline for loan approval prediction. Performed EDA, data preprocessing, and feature engineering; achieved 86% accuracy and evaluated using Precision, Recall, and F1-Score.

Courses & certifications

• Data Science, AI & Machine Learning · Certification

🏆 Achievements & awards

• Solved 200+ DSA questions on LeetCode and GFG

  Solved more than 200 data structures and algorithms questions on LeetCode and GeeksforGeeks.