Twitter Sentiment Analysis
Summary
Tested the model using different linear and tree based models leveraging a dataset sourced from Kaggle.
Application Engineer
Highlights
Collaborating with the Apps-Core Android Team to manage and enhance the functionality of the Android application.
Contributing to the Fast Fashion project by adding and designing new widgets to improve user engagement and experience.
AI/ML Intern-AWS Academy
Highlights
Conducted in-depth analysis on extensive datasets and designed machine learning models on AWS, achieving a 15% average accuracy improvement over benchmarks.
Applied advanced algorithms, resulting in a 20% reduction in model training time and improved efficiency.
B.Tech
Computer Science
Grade: 9.48/10.0
Class XII
Grade: 92.2%
Class X
Grade: 94.4%
Selected for the scholarship for the year 2020-21 based on the performance in the University Examinations.
Awarded By
Talentsprint supported by Google
Secured 50% scholarship in top 200 students out of 27000+ applicants all over India.
Awarded By
International Model United Nations Association
Represented the esteemeed International Model United Nations Association as Campus Ambassador
C++, C, Python, Kotlin, React Native.
Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn, Scipy, TensorFlow, OpenCV, Keras.
Git, Github, AWS, VS Code, Android Studio, SQL.
Communication, Analytical and Problem-Solving, Teamwork, Leadership.
Data Structures & Algorithms, Operating System, Artificial Intelligence, DBMS, Computer Networks.
Summary
Tested the model using different linear and tree based models leveraging a dataset sourced from Kaggle.
Summary
Designed and produced a movie recommendation system using Streamlit, pickle, and the TMDB API to process over 50,000 movie titles.
Summary
Engineered a high-converting ECommerce platform from scratch using HTML, CSS, and JavaScript.