Welcome to My Profile

Hi! I'm Reema George Dass, a Data Scientist / Analyst / Engineer with a passion for AI, Machine Learning, and creative solutions.

Beyond my professional interests, I enjoy exploring nature, creating art, and delving into topics like space, psychology, and ethical AI.

Feel free to explore my projects, resume, and contact me!

Explore My Work Visit My GitHub
Reema George Dass

About Me

I am a Master of Data Science student at the Technical University of Vienna, combining over four years of expertise in data engineering and cloud computing with a passion for leveraging machine learning and advanced analytics.

  • Enhanced the security of edge-deployed neural networks during my research internship.
  • Developed efficient data pipelines and improved system resilience as a data engineer.
  • Led cloud computing projects to achieve compliance and optimize operational efficiency.

I am especially enthusiastic about the applications of data science in fields like finance, green energy, ethical AI, and enjoy tackling complex problems through innovative solutions.

If you'd like to learn more, feel free to explore my resume or connect with me!

View My Resume (PDF)
Reema George Dass

My Projects

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Sentiment Analysis using Knowledge graphs

Identifying possible mental health disorders based on the tweets.
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Reinforcement Learning Game

Building a dynamic breakout game using reinforcement learning.
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Research on Security of Deep Neural Network.

Explorations of ways of securing DNN models deployed on Edge Devices against Model stealing attacks.
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Exploring the state of global primary education

This analysis aims to provide an insight into the current state of global primary education by looking specifically at the primary school completion rate.
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Evaluating Job Satisfaction Using Machine Learning

Investigating work-family dynamics, job satisfaction, and role adjustments among international business travelers using Random Forest and XGBoost models.
Poetic Patterns

Poetic Patterns

NLP app analyzing poetry with LLMs
View Code Live Demo
Testing Identity Theft

Testing Identity Theft

Ethical record linkage & differential privacy toolkit
View Code
User Energy Insight

User Energy Insight Feature

Analyzes user-level energy consumption to detect anomalies, profile behavior, and generate actionable insights using Python and time-series analysis.
View Code
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Provenance of VRE for Collaborated Research

Exploring data provenance frameworks for secure, transparent, and scalable Virtual Research Environments (VREs).

Certifications

Contact Me