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, a Master’s student in Data Science at TU Dortmund University with a strong academic background in Computer Science and Engineering. I completed my Bachelor’s degree 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 Rubixe - AI Solutions Company (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.

Research & Applied Interests

I am interested in applied machine learning and data science for building robust, interpretable, and data-driven systems that can operate effectively on real-world, noisy, and high-dimensional data. My focus areas include predictive modeling, analytics, causal reasoning, and explainable AI, with an emphasis on translating data into reliable insights that support decision-making. I am particularly drawn to research-driven industry work, where experimental ideas can be validated through real datasets, benchmarks, and end-to-end pipelines, and applied to domains such as cybersecurity, business analytics, and intelligent decision-support systems.

Internships

Data Science Research Intern (Consultant Role)
Rubixe - AI Solutions Company | Data Science | (April 2025 - October 2025)

• Worked on multiple proof-of-concept (POC) and client-driven data science projects, applying statistical analysis, machine learning techniques, and data visualization to address real-world business and research problems.
• Conducted exploratory research and experimental evaluation of machine learning models, focusing on research-driven problem formulation, hypothesis testing, and analysis on real-world, large-scale datasets.
• Collaborated with project teams and clients to analyze datasets, interpret results, and deliver actionable insights using Python and industry-standard Data Science tools.
• Demonstrated consistency, analytical rigor, and independent problem-solving skills while balancing experimentation, validation, and performance evaluation of models. [CERTIFICATE]

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]

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]

Projects

NO-CHURN TELECOM: Customer Churn Prediction
Industry Project @ Rubixe – AI Solutions Company, September 2025–October 2025
Developed an end-to-end machine learning solution to predict customer churn for a European telecom dataset, enabling data-driven customer retention strategies. The project involved extensive data preprocessing, exploratory data analysis (EDA), feature encoding, and scaling of high-dimensional customer usage data. Addressed class imbalance using SMOTE and trained supervised classification models, including Random Forest and XGBoost, with hyperparameter tuning to improve predictive performance. The final solution emphasized model reliability and business relevance, providing actionable insights to identify high-risk customers in a real-world telecom setting under professional mentorship at Rubixe.

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.