Wania Khan

Background

About Wania Khan

As a data scientist passionate about sustainable technology, I blend advanced analytics with environmental consciousness to drive innovation in energy systems. My expertise spans data exploration, extracting actionable insights, and implementing data-driven decisions. Through my Erasmus Mundus Joint Master's, I've gained a unique perspective on applying these skills to complex technological challenges.My technical toolkit includes proficiency in big data processing frameworks, machine learning model development, and data visualization techniques. I specialize in predictive analytics and time-series forecasting, focusing on energy optimization and resource management across various domains.Throughout my career, I've applied these skills to impactful projects like smart grid optimization and data center resource utilization prediction. These endeavors showcase my ability to transform raw data into strategic actions, leveraging data exploration techniques to uncover patterns and drive informed decision-making.My international academic journey has cultivated strong cross-cultural communication, adaptability, and collaborative skills. Through international hackathons and research projects, I've developed leadership abilities, effective teamwork, and a global perspective that enables me to work seamlessly across diverse and multidisciplinary teams.Driven by a desire to make a meaningful impact, I seek opportunities to apply big data analytics and AI to real-world sustainability challenges. My goal is to contribute to innovative projects that not only push the boundaries of data science but also promote efficient and sustainable technological practices, turning data-driven insights into tangible solutions. Tech StackPython (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) ExpertiseAdvanced data analytics | AI-driven Techniques | Machine Learning Modeling | Energy Data Management.