
Shashank Shekhar
Data scientist specializing in AI, ML, and systems engineering
Bangalore Urban, Karnataka, India
Joined February 2026
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Summary
Shashank Shekhar is a highly experienced data science professional with a strong background in artificial intelligence, machine learning, and systems engineering. His career progression from Data Scientist to Chief Data Scientist demonstrates a consistent focus on leveraging data for business insights and product development in various industries including AI, health tech, and location intelligence. rocketreach+2
His expertise extends to developing and implementing machine learning algorithms for diverse applications, including extracting insights from movement data at HyperTrack and working with claims data at Amino. He has also contributed to open-source projects like Apache Superset and pymc3, showcasing his involvement in the broader data science community. theportobellobookshop+1
Academically, Shashank holds a Master of Science in Systems Engineering from Boston University, where his research focused on finding local news on Twitter using a News Word Algorithm. His foundational engineering education is a Bachelor of Technology in Bioengineering and Biomedical Engineering from the Indian Institute of Technology, Guwahati. bu+1
Shashank Shekhar is also an inventor with multiple patents filed, covering areas such as scalable road sign knowledge graph construction, content prediction, and machine learning models for location-based episode prediction. This demonstrates his practical innovation and contribution to intellectual property in the field of data science and technology. justia
Work
Education
Writing
SCALABLE ROAD SIGN KNOWLEDGE GRAPH CONSTRUCTION WITH MACHINE LEARNING AND HUMAN IN THE LOOP
January 1, 2023ROAD SIGN CONTENT PREDICTION AND SEARCH IN SMART DATA MANAGEMENT FOR TRAINING MACHINE LEARNING MODEL
January 1, 2023SIMULTANEOUSLY SHARING MULTIPLE WINDOWS VIA A COLLABORATION APPLICATION
January 1, 2023VECTOR TRANSFORMATION AND ANALYSIS FOR SUPPLY CHAIN EARLY WARNING SYSTEM
January 1, 2022SYSTEMS AND METHODS FOR VALUE-BASED PROVISION OF TELEVISION CONTENT IN A HYBRID QUADRATURE AMPLITUDE MODULATION (QAM)/INTERNET PROTOCOL (IP) CONTENT DELIVERY ENVIRONMENT
January 1, 2022MACHINE LEARNING MODELS IN LOCATION BASED EPISODE PREDICTION
January 1, 2021SYSTEMS AND METHODS FOR VALUE-BASED PROVISION OF TELEVISION CONTENT IN A HYBRID QUADRATURE AMPLITUDE MODULATION (QAM)/INTERNET PROTOCOL (IP) CONTENT DELIVERY ENVIRONMENT
January 1, 2021APPARATUS AND METHOD FOR SHARING CONTENT
January 1, 2020DEUTERATED CFTR MODULATORS AND METHODS OF USE
January 1, 2020METHOD AND APPARATUS FOR MANAGING APPLICATION DATA USAGE
January 1, 2019Systems and methods for value-based provision of television content in a hybrid quadrature amplitude modulation (QAM)/internet protocol (IP) content delivery environment
Apparatus and method for sharing content
Method and electronic device for enabling at least one battery management function for managing battery usage
Machine learning models in location based episode prediction
Systems and methods for value-based provision of television content in a hybrid quadrature amplitude modulation (QAM)/internet protocol (IP) content delivery environment
Method and apparatus for managing application data usage
Protecting critical data structures in an embedded hypervisor system
Template-driven data access
Method and apparatus for managing application data usage
Generating network pages using customer-generated network page portions
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