Motivated and passionate computer science graduate with a master’s degree in computer and information sciences. Proficient in a wide range of programming languages and technologies, coupled with a solution-focused mindset and a drive for innovation. Skilled in solving complex problems and contributing effectively to software roles. Eager to join a dynamic IT team where I can apply my technical skills, and continuous learning mindset, and make impactful contributions.
Programming Languages: Core Java, Advanced Python, C, Data Structures, JavaScript
Web Development: HTML, CSS, Django
Databases and Data Processing: Mysql, MongoDB, Hive, Spark, Hadoop
Cloud Computing: Google Cloud Platform, AWS, Linux(Ubuntu)
Tools and IDE's: SSH, IntelliJ, VS code, Jupyter Notebook, Wireshark, Shodan
Software Engineering Practices: SDLC, Agile Methodologies
Computer Science Fundamentals: Information Retrieval, Graph Theory, Computer Networks, Data Modelling
E-Ticketing System
Developed a full-stack e-ticketing web application using Spring, MySQL, Hibernate, and Thymeleaf for online ticket booking across various events like transportation and movies. Implemented role-based authentication with encrypted passwords for admin and user roles. Designed a normalized database schema with 14 tables for reliable data storage.
Electricity Bill Management System
Developed a full-stack web application using Python, Django, and SQLite3 for managing electricity bills, meter readings, service requests, and customer accounts. Implemented user and admin roles with separate dashboards, designed a normalized database schema, and conducted testing using PyTest framework.
Healthcare Accessibility Analysis(Harvesting, Storing and Retrieving Data)
Utilized GCP services like Cloud Storage, Dataproc, BigQuery along with Hadoop, Spark, Hive for storing, processing and analyzing healthcare accessibility data. Performed data wrangling using OpenRefine, implemented Hive queries, executed SQL queries on BigQuery, and leveraged Spark for big data processing.
Analyzing online Job Postings(empirical analysis)
Conducted a comprehensive study of job market trends by analyzing job postings using statistical methods like regression and cluster analysis. Utilized some tools like Tableau to examine job categories and career advancement trends.