Cryptography Cloud Framework (Jan 2020 - Mar 2020)
Engineered a secure Cryptography Cloud Framework in Java for AWS, ensuring confidential and authenticated communication between cloud applications.
Emphasized AWS cloud characteristics such as scalability and reliability, enhancing the framework's quality and setting a resilient foundation for AWS cloud-based applications.
Established a database management system, optimizing data storage and retrieval processes for efficient information management.
New York City Parking Tickets - Big Data
Applied MapReduce, pandas, scikit-learn, and matplotlib to analyze extensive datasets for relevant information.
Demonstrated proficiency in Hadoop and Spark for data processing and analysis.
Conducted thorough data analysis on parking ticket issuance in NYC, identifying patterns based on time, area, and vehicle type.
Engineered machine learning models with scikit-learn to predict optimal parking times with high accuracy, excelling in suggesting nearby parking meter availability.
Integrated matplotlib for insightful data visualization, contributing to a comprehensive NYC parking data analysis.