About me

👩‍🎓 Wania Khan | Data Scientist & AI Researcher

🎯 Transforming Data into Actionable Insights for Smart Energy Systems

I am a data scientist and researcher focused on applying machine learning and advanced data analytics to solve real-world problems in energy systems and resource management. My work involves developing scalable AI models, predictive tools, and optimization frameworks to improve efficiency, reliability, and sustainability in critical infrastructure.

🖥️ Tech Stack

Python (Numpy, Pandas), SQL, C++, Java | ML/DL Framework (Scikit-Learn, TensorFlow, OpenCV) | Data Analytics and Visualization (Matplotlib, PowerBI, Tableau) | Big Data Technologies (Hadoop, Spark) | Cloud (AWS)

💡 Expertise

Advanced data analytics | AI-driven Techniques | Machine Learning Modeling | Energy Data Management.

🔬 Projects

To view my interesting projects, check out the link!

🎓 Education

• Erasmus Mundus Joint Masters Degree (Fully Funded) with specializations in:
  • Green Networking, University of Lorraine, France
  • Information Technology, Leeds Beckett University, UK
  • Computer Science and Engineering, Luleå University of Technology, Sweden
• BSc in Computer Engineering (Cum Laude, Silver Medalist)

🚀 Research Interests

• Energy Systems: Leveraging large-scale data management and advanced analytics to enhance system efficiency and reliability.
• Predictive Analytics: Building tools for resource utilization forecasting and energy consumption analysis.
• Data-Driven Decision-Making: Leveraging exploratory data analysis to uncover insights for sustainable energy planning.

🔧 Key Contributions

• Developed optimization frameworks for smarter energy distribution in households.
• Created AI models to estimate voltage levels, improving grid reliability.
• Designed predictive tools for efficient data center resource allocation.
• Built time-series forecasting systems for energy consumption analysis.
• Conducted exploratory data analysis to drive evidence-based data center energy management.

🌟 Mission and Vision

• Leveraging AI and data science for sustainable energy solutions.
• Bridging the gap between data science and real-world energy challenges.
• Advocating for open-source tools and fostering innovation in tech-for-good initiatives.
• Mentoring aspiring data scientists and contributing to open-source projects.

📫 Let’s Collaborate on data-driven solutions for a sustainable future!!