Collaborations

Future-Proof Open Source Intelligence (OSINT) Early Warning System

In collaboration with Harvard University, National Consulting Partners is sponsoring industry-led Open Source Intelligence (OSINT) project focused on developing a future-proof early warning system for public sector organizations globally. The project leverages a range of advanced key technologies including AWS (S3, Lambda), Python, Natural Language Processing (TF-IDF, NER, BERTopic), Anomaly Detection (STL, Z-Score Models), GDELT, Google Trends Integration and Apache Superset.

The initiative is guided by advisors Professor Bruce Huang PhD Ed.D and Dr. Stephen Elston PhD. The following dedicated Harvard Data Science Capstone project team members are actively driving the design, development, and delivery of this initiative in collaboration with us.

Priyanka Gunduboina

Priyanka Gunduboina

Master of Liberal Arts (ALM) - Data Science Candidate

GIS Analyst at Capitol Airspace Group with a dual B.S. in Environmental Policy & Planning and Biological Sciences from Virginia Tech. Her background spans AWS, renewable energy analytics, and geospatial data systems across government and private-sector organizations. She specializes in spatial analysis, data management, and environmental risk modeling.

Sergey Onokhin

Sergey Onokhin

Master of Liberal Arts (ALM) - Data Science Candidate

Senior Pricing Analyst in BP’s Supply, Trading & Shipping organization, driving pricing strategy and margin optimization for North American B2B fuels. U.S. Army Infantry veteran with a background in mission-critical operations.

Michael Cabrera

Michael Cabrera

Master of Liberal Arts (ALM) - Data Science Candidate

Research Data Analyst for the State of California with a background in Electrical Engineering from UC San Diego. Served as a U.S. Patent Examiner at the USPTO, specializing in computer science and human-machine interface technologies. His experience spans technical evaluation, data analysis, and systems-level review across complex software and innovation domains.

Connor Poetzinger

Connor Poetzinger

Master of Liberal Arts (ALM) - Data Science Candidate

Senior Data Scientist at OKX working on compliance and AML technologies. Based in New York City.

Phu Thai

Phu Thai

Master of Liberal Arts (ALM) - Data Science Candidate

Software Engineer at Microsoft within Azure Software Defined Networking, focusing on cloud networking infrastructure that connects global datacenter systems. He holds a B.S. in Computer & Systems Engineering from Rensselaer Polytechnic Institute and brings deep expertise in networking, distributed systems, and cloud architecture.

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