Priyanka Prem Kumar

Signatory @The Jena Declaration

San Antonio, TX, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jun 2025 — Present

Signatory @The Jena Declaration

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Recognized contributor to an international policy-informed initiative shaping culturally responsive sustainability approaches adopted by global research, policy, and academic networks

EDUCATION

N/A

Indiana University Bloomington

Master of Science - MS, Data Science

N/A

Zero To Mastery Academy

Machine learning and Data science Bootcamp

2016 — 2018

Anna University Chennai

Master of Engineering - MEng, Applied electronics

2005 — 2009

Visvesvaraya Technological University

Bachelor of Engineering - B.E., Electrical, Electronics and Communications Engineering

ABOUT PRIYANKA PREM KUMAR

Priyanka Prem Kumar is a data scientist and sustainability researcher specializing in climate-smart agriculture, sustainable food systems, and resilience strategies for rural and mountain communities. Her work integrates data science, artificial intelligence, and policy analysis to strengthen climate adaptation, agricultural productivity, and socioeconomic resilience for smallholder farmers and underserved populations.She contributes to policy-focused research with the Utah International Mountain Forum (UIMF) in collaboration with the UN Mountain Partnership and has presented at CSW-67, CSW-68, and CSW-69 at United Nations Headquarters, advocating for the education and economic empowerment of women and girls in mountain regions. Her AI-enabled research on climate-smart agriculture in India was published in the United Nations SDG Conference proceedings and archived in the UN Dag Hammarskjöld Library.Priyanka has been recognized for her leadership in International Mountain Day outreach and sustainability advocacy through initiatives supported by FAO-UN and UIMF, contributing to international awareness, community engagement, and SDG-aligned development initiatives. She is currently pursuing an M.S. in Data Science at Indiana University Bloomington, with expertise in machine learning, analytics, and evidence-based policy research, and continues to advance interdisciplinary work at the nexus of technology, sustainability, and global development.

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