Software Engineering,Machine Learning

SHARANYA EMMADISETTY

+1-669-***-**** ************@***.***

https://www.linkedin.com/in/sharanya-emmadisetty-921a5b204/ EDUCATION

Santa Clara University, Santa Clara, CA

Masters in Computer Science, May 2026

Courses Registered: Computer Architecture, Database Systems, Pattern Recognition and Data Mining, Design and Analysis of algorithms, Cloud Computing, Computer Networks

GPA: 3.85

Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering, Telangana, India Bachelor's in Computer Science, May 2024

GPA: 9.21

Related Coursework: Data Structures and Algorithms, Computer Networks, Operating Systems, Cloud Computing, LINUX Programming, Computer Organization, Object Oriented Programming, Database Management System, Software Engineering, Data Mining, Big Data Computing, Deep Learning.

TECHNICAL SKILLS

• Languages: HTML, CSS, C++, JAVA, Python, SQL, R, PL/SQL, HiveQL

• Databases: MYSQL, HDFS, Amazon RDS, Oracle Database

• Frameworks: Hadoop, Django, AWS(s3,ec2,redshift)

• Others: Linux, GIT, Network protocols, Cyber Security, Artificial Intelligence, Machine Learning, REST(Web services) PUBLICATIONS

Intrusion Detection And Prevention System

• Published a paper titled "INTRUSION DETECTION AND PREVENTION SYSTEM" in the IIP Book series, 2023

• This paper focuses on enhancing cybersecurity through the development of a machine-learning-based Intrusion Prevention System (IPS)

A Survey on Fire Detection and Mitigation Methods

• Published a paper titled "A Survey on Fire Detection and Mitigation Methods, and its Challenges" in ICTIS 2024

• This survey paper provides a comprehensive review of wildfire detection and mitigation strategies, technologies, and methodologies, considering the pressing issue of increasing wildfires and their far-reaching impacts

• The objective is to analyze existing literature, categorizing findings into key subtopics: wildfire detection techniques PROJECTS

Shifts Scheduling System(My Schedules) Django, Postgres

• Developed a complex shift scheduling system for 70+ employees covering 20+ shifts types using Django and PostgreSQL.

• Implemented complex SQL queries for creating,updating,deleting and reading shifts assignments.

• Implemented database performance optimization techniques including proper indexing and query tuning.

• Developed and optimized RESTful APIs using Django REST Framework (DRF) for shift scheduling, approvals, and employee management, ensuring seamless data flow between frontend and backend.

• Deployed the django application on AWS EC2 running Ubuntu, integrating with Amazon RDS PostgreSQL instance.

• Configured and established secure SSH connection to Amazon EC2 instance to transfer the files, log inspection and database connectivity.

Wildfire and Urbanfire detection and mitigation Python, Machine Learning

• Implemented a machine learning model which detects fire using cctv cameras and satellite images and finally alerts are sent to registered subscribers

• After training achieved an accuracy of 92.4 percent for satellite detection and reduced loss percentage in livestream module. In terms of execution, time taken to detect fire in both satellite and livestream is in proportion of milliseconds

• Detects fire and produces audio alerts and pop-up messages.

• Trained YOLOv8 model on the D-Fire dataset for accurate fire and smoke detection in both wildfire and urban settings. Network intrusion detection and prevention system Cyber security, Machine Learning

• Built the intrusion detector capable of distinguishing between bad intrusions and safe normal connections using machine learning

• It works on the principle of Anomaly-based Intrusion Detection System. It is much more efficient than the existing Intrusion Detection Systems as it can predict novel attacks and zero-day attacks CERTIFICATIONS

• Certification in Google Data Analytics, Coursera - Completed 2023

• Certification in Data Structures and Algorithms, Smart Interviews - Completed 2022

• Certification in MERN Stack, Masters Coding - Completed 2022

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