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Shashank Shekhar

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, 2023
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ROAD SIGN CONTENT PREDICTION AND SEARCH IN SMART DATA MANAGEMENT FOR TRAINING MACHINE LEARNING MODEL

January 1, 2023
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SIMULTANEOUSLY SHARING MULTIPLE WINDOWS VIA A COLLABORATION APPLICATION

January 1, 2023
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VECTOR TRANSFORMATION AND ANALYSIS FOR SUPPLY CHAIN EARLY WARNING SYSTEM

January 1, 2022
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SYSTEMS AND METHODS FOR VALUE-BASED PROVISION OF TELEVISION CONTENT IN A HYBRID QUADRATURE AMPLITUDE MODULATION (QAM)/INTERNET PROTOCOL (IP) CONTENT DELIVERY ENVIRONMENT

January 1, 2022
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MACHINE LEARNING MODELS IN LOCATION BASED EPISODE PREDICTION

January 1, 2021
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SYSTEMS AND METHODS FOR VALUE-BASED PROVISION OF TELEVISION CONTENT IN A HYBRID QUADRATURE AMPLITUDE MODULATION (QAM)/INTERNET PROTOCOL (IP) CONTENT DELIVERY ENVIRONMENT

January 1, 2021
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APPARATUS AND METHOD FOR SHARING CONTENT

January 1, 2020
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DEUTERATED CFTR MODULATORS AND METHODS OF USE

January 1, 2020
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METHOD AND APPARATUS FOR MANAGING APPLICATION DATA USAGE

January 1, 2019
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Systems and methods for value-based provision of television content in a hybrid quadrature amplitude modulation (QAM)/internet protocol (IP) content delivery environment

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Apparatus and method for sharing content

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Method and electronic device for enabling at least one battery management function for managing battery usage

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Machine learning models in location based episode prediction

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Systems and methods for value-based provision of television content in a hybrid quadrature amplitude modulation (QAM)/internet protocol (IP) content delivery environment

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Method and apparatus for managing application data usage

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Protecting critical data structures in an embedded hypervisor system

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Template-driven data access

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Method and apparatus for managing application data usage

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Generating network pages using customer-generated network page portions

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