Work

I aim to develop innovative and efficient solutions using machine learning. I have expertise in managing structured and unstructured data, big data analytics, and machine learning. I am trained in the domain of Transportation systems and Civil engineering, where I have identified and developed data science use cases, such as real-time mobility prediction, traffic prediction across cities, automated anomaly detection, calibration of large-scale simulations, and traffic risk prediction. My work in these areas is published in peer-reviewed international journals and on GitHub.

Hapag-Lloyd AG

I build analytics applications that enable efficient, sustainable, and reliable supply chains. This work involves applying data engineering and data science to develop and deploy big data analytics models and pipelines. I also focus on scaling, maintaining, and optimizing these pipelines, while collaborating with cross-functional teams to deliver impactful, data-driven solutions.

Technical University of Munich

I designed and implemented ETL pipelines for traffic and geospatial data from numerous sources and spearheaded the development of workflows for data quality improvement. I also led the design and development of machine learning pipelines for mobility analytics and traffic prediction.

During my tenure, I initiated and finished TraMPA project to address data insufficiency in mobility analyses. I developed and tested a scalable anomaly detection method for large traffic trajectory datasets. I also prototyped a workflow for the transfer of deep learning models for real-time mobility and traffic predictions. The ML-based methods were integrated to automate the calibration of large-scale black-box simulations.

Apart from the above, I managed the Chair's website, internal WIKI, on-premise server hardware and configuration, supervised students, and gave lectures for masters-level courses.

Fortiss GmbH

I developed an Intelligent recommendation system to provide recommendations to AutoFocus3 users. To achieve this, I integrated the machine-learning pipeline with Java-based software tools for providing real-time recommendations.

National Highways Authority of India

I was responsible for identifying pre-construction land acquisition and utility shifting issues and coordinating with the state and central authorities for their fast-track resolution. I took the initiatives to use data-driven insights to identify road safety issues, preparing and monitoring measures for their correction.