Charan Vallurupalli

Recent graduate with technical, and problem-solving skills. Detail-oriented and able to learn new concepts quickly.

 Flight Ticket Data analysis (NJIT)

• Processed and analyzed large-scale flight ticket datasets using HDFS to identify trends in passenger behavior, ticket pricing, and travel routes.

• Utilized PySpark and Hive for data preprocessing, querying, and generating insights from distributed datasets.

• Optimized data pipelines for handling and storing big data efficiently, ensuring scalability and fault tolerance.

Web Store (NJIT)

• In this simple e-commerce web store, customers can browse a catalog of goods and services and make electronic purchases.

• Used Python and Django

City Library System (NJIT)

• Created a public library management system with a strong database structure using SQL and a user-interaction Python application..

• Among the primary features are document search, borrowing, and administrative duties, with an emphasis on query optimization, user-friendly interface design, and data integrity.

• Used Python, SQL, Entity-Relationship Modeling, Database Normalization, Query Optimization

Techniques.

IMDB Ratings Prediction (NJIT)

• Main objective is to use several machine learning models to predict IMDB ratings. here we are trying to determine patterns that most affect movies and TV show ratings.

• The data analysis here will include preprocessing techniques such as addressing missing values and feature transformation.

Neural Development(NJIT)

• Web Scrapping(Extracting and Analyzing Journal Article Data)

• Data Processing and Visualization Process