Harshasri Bojedla

• created responsive interfaces from design mockups using HTML, CSS, and Bootsrap,angular,JavaScript.
• Guaranteed uniform performance on multiple browsers and devices.
• programs that are saleably and quickly optimized.
• UI accessibility best practices were implemented.
• Utilized Git for group collaboration and version control.

TECHNICAL PROJECTS:

Title: Resume Builder Application:(React.js,Express.js,Node.js,Firebase)

Description: web app with features including Login Authentication ,sync data across devices, Managing multiple in one account and Translation in own language.

Title:Credit Card Fraud Detection Using Machine Learning and Apache Spark(Python libraries:Pandas,Numpy,scikit-learn,matplotlib,TensorFlow ML algorithms: KNN,SVM,Random Forest,Decision Tree)The project created a real-time credit card fraud detection system by utilizing Apache Spark's processing and machine learning capabilities. It prioritized data security and privacy and concentrated on data collecting, preprocessing, feature engineering, model training, and real-time deployment using supervised and unsupervised machine Learning algorithms.