Vishal Mahajan

I’m a data scientist, mobility researcher, and cloud practitioner with a Ph.D. [in data-efficient methods for mobility analyses] and an M.Sc. [in transportation systems] from the Technical University of Munich, Germany. My goal is to solve real-world business and research problems by leveraging data science, optimization, and simulation methods.

My expertise spans time-series forecasting, anomaly detection, clustering, deep learning, transfer learning, and black-box optimization. My focus is on bridging the gap between theory and delivering practical solutions. Through my research and projects, I've worked on the data science and data engineering aspects such as:

• Collection and analysis of streaming spatial-temporal data
• Data quality enhancement using automated anomaly detection
• Applications of machine learning and deep learning for real-world use cases
• Understanding human mobility during dynamic events
• Clustering and understanding of complex traffic scenarios
• Predicting traffic and driving patterns
• Simulating and calibrating large-scale traffic scenarios

I am familiar with how to use cloud technologies to learn from data efficiently and how to scale the developed solutions. I am also certified by AWS [Cloud Practitioner; Solutions Architect Associate] and Microsoft [Azure Data Scientist Associate].

You will find some of my research and project highlights on this website 🔍.