Keval Padsala

Education

• 

  Loyalist College

  -

  Postgraduate Degree AI & Data Science Dean's List

  Academic Projects:House Price Prediction: • Build a Scraper to scrape details from Realtor and train model using the real data available in the market. • Created ML models using scikit-learn which helps to predict house price based on details provide and past learned data. • Use Random Forest, XGBoost and SVM to predict price.Credit Card Fraud Detection: • Employed exploratory data analysis, data preprocessing, and various ML algorithms for credit card fraud… Show more Academic Projects:House Price Prediction: • Build a Scraper to scrape details from Realtor and train model using the real data available in the market. • Created ML models using scikit-learn which helps to predict house price based on details provide and past learned data. • Use Random Forest, XGBoost and SVM to predict price.Credit Card Fraud Detection: • Employed exploratory data analysis, data preprocessing, and various ML algorithms for credit card fraud detection. • Utilized data sampling techniques, including SMOTE and ADASYN, and ML(KNN, Random Forest, SVM) and deep learning (ANNs) for improved fraud detection. • Evaluation metrics such as F1-score, confusion matrix, and ROC curves were employed.The model was optimized through hyperparameter tuning to achieve the best performance. Show less

• 

  Dharmsinh Desai University

  -

  Bachelor of Technology - BTech Computer Engineering

  Tweet Sentiment Analysis: • Technologies used: Python, ML libraries scikit-learn, Tweepy(Twitter API), SVM, NLTK.The project aims to download tweets as per time and subject or person and classify tweets positive or negative using the Support Vector Machine(SVM) classifier.