Data has the power to unlock insights, drive innovation, and shape intelligent solutions—and that’s what fuels my passion for data science and AI.

Hi, I am Prathuasha K B. I hold a Bachelor’s degree in Computer Science and Engineering from Sri Siddhartha Institute of Technology, Tumakuru, Karnataka (CGPA: 9.47 | German grade: 1.2), completed in July 2024. My academic journey led me to explore predictive modeling, data visualization, and cybersecurity, culminating in my Bachelor’s thesis, MalDefender — A Comprehensive Malware Detection System Using Machine Learning and Real-Time Analysis, published in IJEMH under the supervision of Dr. Renukalatha S.

Beyond academics, I have gained hands-on experience through internships at DataMites (Data Science) and IBM SkillsBuild (Web Development), where I worked extensively with Python, SQL, Power BI, Tableau, and Machine Learning to develop real-world applications. With a deep curiosity for AI-driven analytics and intelligent systems, I am eager to apply my skills to global opportunities in data science, where I can contribute to cutting-edge advancements in AI and data-driven decision-making.

Internships

Data Science Intern
DataMites™ | Data Science | (January 2025 - Present)

• Undergoing training to develop foundational knowledge in data science principles, including data analysis, statistical methods, ML techniques, and data visualization needed to transition into an internship phase.
• Gaining hands-on experience with industry-standard tools and methodologies.

Web Development Intern
IBMSkillsbuild | Web Development | (June 2023-August 2023)

• Trained on Front-End Web Development fundamentals.
• Contributed to develop a website termed as ‘JobInternDesk’ aninnovative online job portal in collaboration with team-Desk-Interns.
  [CERTIFICATE]

DataTech Intern
MIT Square | Python | (September 2022-October 2022)

• Trained in Python concepts and acquired hands-on experience working on Python projects.
  [CERTIFICATE]

Projects

Maldefender: A Malware Detection System
MAJOR-PROJECT @ SSIT, October 2023–July 2024
[Paper] [Code] [Presentation]
Developed a malware detection system capable of identifying threats in both files and URLs using machine learning algorithms for accurate classification and prevention. This system was successfully integrated and deployed for real-time threat detection as part of my final-year major project (Bachelor Thesis) under the guidance of Dr. Renukalatha S at Sri Siddhartha Institute of Technology, Tumakuru. MalDefender is grounded in our published research in the International Journal of Engineering, Management, and Humanities (IJEMH). The paper explores how modern machine learning techniques can enhance cybersecurity solutions, offering practical insights into proactive malware detection.

Detection of Autism Spectrum Disorder
MINI-PROJECT II @ SSIT, March 2023–July 2023
[Code] [Presentation]
Developed an Autism Spectrum Disorder (ASD) detection system utilizing machine learning algorithms to analyze images and structured data for identifying ASD traits, enabling early diagnosis and intervention. The project compares image-based and structured data-based approaches, offering insights into their effectiveness and demonstrating how artificial intelligence can assist healthcare professionals in assessments. Successfully implemented as part of Mini Project II under the guidance of Dr. Renukalatha S at Sri Siddhartha Institute of Technology, Tumakuru.

Automatic Speech Recognition
MINI-PROJECT I @ SSIT, November 2022–February 2023
[Code] [Presentation]
Developed a speech recognition system using the Wav2Vec 2.0 model by Facebook and Hugging Face’s Model Hub, designed to convert human speech into readable text using advanced deep learning techniques. This project contributes to the broader field of natural language processing, enhancing human-computer interaction capabilities. Given its growing demand, this project was successfully implemented as part of Mini Project I under the guidance of Dr. Channakrishnaraju at Sri Siddhartha Institute of Technology, Tumakuru.

JobInternDesk
Internship project with IBM SkillsBuild, June 2023-July 2023.
[Code] [Presentation] [Website]
Developed a web-based platform, JobInternDesk, to streamline the search for jobs and internships. The system enables users to explore openings, apply online, and interact with a built-in chatbot for instant assistance. Designed with a user-friendly interface, the platform offers a seamless experience for discovering and pursuing career opportunities.

Short Range Ultrasonic Radar
A hobby project @ SSIT, November 2021-March 2022.
[Code] [Presentation]
Designed a short range radar that could be helpful for object avoidance/detection applications by using electromagnetic waves with the help of Arduino UNO and ultrasonic sensor.

Publications

Maldefender: A Comprehensive Malware Detection System Using Machine Learning and Real-Time Analysis
Disha Bhargavi B. S., H. L. Srilaxmi, Neha Acharya, Prathuasha K. B
Int. J.Eng. Manag. Humanit.(IJEMH), vol. 5, no. 4, pp. 12–15, Jul.-Aug. 2024.
[PDF] [CERTIFICATE]