About

Anurag Kumar Mishra is a highly skilled data science professional with 4.36 years of experience in the domain of Energy and Materials. He is currently pursuing his Masters in Data Science at RWTH Aachen, Deutschland and working as a Machine Learning Engineer (Working Student) at Celonis. Anurag has a proven track record of working with varied verticals of advanced analytics and optimization. He is experienced in convex optimization, time-series analysis, predictive modeling, and other related fields. He has also authored a python package named "pycorr" which is available on PyPI. Anurag is an avid blogger and his blogs on Data Science can be found on Medium under his name. He is also active on GitHub where he welcomes collaboration. In his previous roles, Anurag has worked as a Data Scientist at McKinsey where he focused on Global Energy and Materials. He has also worked as the Head of Technology and Technical Core Member for GDSC-RWTH Aachen at Google Developer Student Club. Anurag's technical and functional specialization includes optimization models with recommendations, predictive modeling with analysis and explainability of models, productionizing models with tailored data engineering pipelines and recommendations/outputs, and product development in the form of a toolkit with CI/CD and workflow management of production-ready code/pipelines in machine learning. His industrial specialization includes Mineral Processing Plants - Throughput and Recovery optimizations, Chemicals, and Coal plants - Emission optimizations. Anurag has a Master of Science degree in Data Science from RWTH Aachen University and a Bachelor's degree in Computer Science from Army Institute of Technology, Pune. He also has a diploma from Tagore Academy, Faridabad. Anurag's tech stack includes ML, Data Scientist, Python, NLP, Research Scientist, Data Engineering, CI/CD. He is a highly motivated individual who is passionate about solving complex problems using data science.