Saptarshi Das
Passionate About Cleaner Energy & Quality Education
- Role
- Heading Decision Science Shell at Shell
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Saptarshi Das
I envisage a future where everyone has access to sustainable and affordable energy and has access to quality education. I believe that artificial intelligence (AI) will play a decisive role in shaping that future. I designed the open innovation program \"Shell AI futures\" to address the most demanding challenges of the energy industry by leveraging data and AI. In this program, we are working together with partners from industry and research institutes across the planet. In addition, I\'m heading a global group of highly skilled researchers motivated to change the way energy is produced and delivered.I completed a master\'s degree in Applied Statistics & Informatics from the Indian Institute of Technology, Bombay, and a Ph.D. with distinction in Applied Mathematics from the University of Vienna. I worked with Morgan Stanley and Siemens in my career, where I helped shape up their data science journey.
Experience
Heading Decision Science Shell
Aug 2021 — Present
I\'m leading an amazing global group of decision science experts. The decision science group is helping different lines of Shell\'s businesses to make the right decisions under uncertainty. Making data-driven decisions under uncertainty becomes even more critical while Shell has to accelerate through the energy transition, which is uncertain, complex and has a massive value at stake.
Education
Indian Institute of Technology, Bombay
Master's Degree, Applied Statistics and Informatics
2003 — 2005
University of Vienna
Doctor of Philosophy (Ph.D.), Applied Mathematics
2007 — 2009
Skills
- Mathematical Modeling
- Ofdm
- Digital Image Processing
- Signal Processing
- Optimization Techniques
- Operations Research
- Algorithms
- Analytics
- Linear Algebra
- Data Analysis
- R
- Matlab
- Modeling
- Software Development
- Python
- Applied Mathematics
- Datamining
- C++
- Big Data Analytics
- Statistics
- Data Mining
- Machine Learning
- Numerical Analysis
- C
- Optimization
- Integer Programming
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