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PRIYANKA PREM KUMAR
San Antonio,USA
Summary
Data Science graduate student with experience in machine learning, deep learning, predictive analytics, data visualization, and cloud-based analytics solutions, with a strong ability to build end-to-end data workflows, perform statistical modeling, and translate complex datasets into actionable insights. Experienced working on projects related to healthcare, retail, finance, social impact, and computer vision using Python, SQL, Tableau, Power BI, TensorFlow, PyTorch, and AWS. Research-oriented professional with a proven track record in conducting detailed analysis, synthesizing complex information, and collaborating across multidisciplinary teams to achieve tangible results. Skilled in data collection, report writing, problem-solving, and adapting to evolving project requirements with a strong focus on reliability, analytical thinking, and effective teamwork.
Overview
1
1
Certification
1
1
year of professional experience
Work History
Data Science Intern
AI for Rural
Remote
02.2021 - 12.2021
- Worked on analytics projects involving healthcare, housing, education, food security, transit, and demographic datasets.
- Performed comparative analytics studies across U.S. and international food systems.
- Created dashboards, visual stories, and analytical reports for stakeholder decision-making.
- Conducted data exploration and statistical analysis to identify socio-economic trends.
Research Fellow Intern
AI for Rural
Remote
07.2021 - 03.2022
- Conducted research and analytics on climate-smart agriculture and sustainable food systems.
- Analyzed agricultural and socio-economic datasets to support data-driven policy insights.
- Developed analytical reports and visualizations for research publications.
Programs Manager Intern
AI for Rural
Remote
02.2021 - 07.2021
- Led data science activities and coordinated machine learning initiatives.
- Supported development of data models and analytical storytelling.
- Collaborated with cross-functional teams on project execution and research coordination.
Data Science Intern
FarlandMD Healthcare
Remote, USA
10.2020 - 12.2020
- Worked on statistical modeling, optimization, and conjoint analysis projects.
- Built linear and logistic regression models for predictive analysis.
- Developed analytical workflows using Python and Excel.
Education
Master of Science - Data Science
Indiana University
Bloomington, USA12-2026
Master of Engineering - Applied Electronics
Anna University
Chennai, India06-2018
Bachelor of Engineering - Electronics & Communication
P.A. College of Engineering And Technology
Mangalore, India06-2009
Skills
- Python: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras
- Statistical Modeling, Predictive Analytics
- Data Cleaning, Feature Engineering, Model Evaluation
- Machine Learning: Regression & Classification Models, Random Forest, Decision Trees, SVM, KNN
- Data collection, Team collaboration, Scientific writing
- Experimental design, Research planning and Effective multitasking
- Qualitative and quantitative research
- Deep Learning concepts: CNNs, RNNs, LSTMs,
- AI: Computer vision models, Transformers, Generative AI, Multimodal AI, Neural Networks & Image Clustering and Segmentation
- Visualization: Matplotlib, Seaborn, Tableau, Power BI, D3js and Observable HQ
- Cloud Foundations: Spark, Hadoop, MapReduce and Distributed Computing Concepts
- SQL: Relational Databases, Graph Databases and NoSQL Databases
- Management: Jira and Asana
- Git & GitHub
Accomplishments
- Co-authored a quantitative research publication on education, elevation, and poverty in the U.S. Mountain West published in the Journal of Business Leadership (2026).
- Contributions to sustainable development initiatives were cited in the United Nations Secretary-General’s 18th Report on Sustainable Mountain Development (2025).
- Served as delegate at United Nations Commission on the Status of Women (CSW67- CSW69) representing Utah International Mountain Forum (2023-2025).
- Presented a machine learning–based Face Spoofing Detection project at a national engineering conference(2018).
- Published and presented a UN Academic Impact–sponsored research paper on climate-smart agriculture and AI-driven food systems in mountain regions of India (2022).
- Invited speaker at FAO-designated International Mountain Day events (2022, 2023), presenting research on sustainable development and socio-economic conditions in mountain communities.
- Authored and presented a UN Academic Impact–sponsored research paper on climate-smart agriculture and AI-driven food systems in Indian mountain regions; published in Why It Matters and archived at the UN Dag Hammarskjöld Library (2022-2023).
- Completed Google Data Analytics Professional Certificate with training in SQL, R, data visualization, and analytics workflows.
- Developed projects involving predictive analytics, deep learning, healthcare analytics, NLP, and cloud-based machine learning systems using Python, TensorFlow, PyTorch, SQL, and AWS.
Affiliations
• Signatory, The Jena Declaration.
- Member, Utah International Mountain Forum (UIMF), Utah Valley University
- Delegate, United Nations Commission on the Status of Women (CSW67, CSW68, CSW69)
- Research Volunteer, Sustainable Mountain Development Initiatives
- Participant, United Nations Young Leaders Online Programme - UNITAR
- Asia-Pacific Youth Subcommittee Member, Why It Matters International SDG Conference
Certification
- Google Data Analytics Professional Certificate – Coursera
- AWS Foundations – Machine Learning Basics
- Data Analysis with R Programming
- Intermediate SQL: Database Design, Window Functions & Data Manipulation
- Python for Data Science and Machine Learning
- Tableau for Data Analytics
- Cloud Computing: AWS Cloud Technologies & Services
- Statistics for Business Analytics, Data Science & Machine Learning
Languages
English
Full Professional
Hindi
Full Professional
Timeline
Research Fellow Intern
AI for Rural
07.2021 - 03.2022
Data Science Intern
AI for Rural
02.2021 - 12.2021
Programs Manager Intern
AI for Rural
02.2021 - 07.2021
Data Science Intern
FarlandMD Healthcare
10.2020 - 12.2020
Master of Science - Data Science
Indiana University
Master of Engineering - Applied Electronics
Anna University
Bachelor of Engineering - Electronics & Communication
P.A. College of Engineering And Technology
RESEARCH & PUBLICATIONS
- Co-authored a quantitative study on education, elevation, and poverty in the U.S. Mountain West published in the Journal of Business Leadership (2026).
- Authored and presented a UN Academic Impact-sponsored research paper on climate-smart agriculture and AI-driven food systems in India’s mountain regions.
- Conducted data visualization studies on healthcare, education, housing, demographics, and food security in rural and tribal regions of the United States.
- Research contributor to projects involving sustainable development analytics, socio-economic data analysis, and workforce participation studies.
ADDITIONAL INFORMATION
- Strong foundation in statistics, probability, optimization, and business analytics.
- Experience working with structured and unstructured datasets.
- Interested in Data Scientist, Machine Learning Engineer, AI Engineer, and Analytics roles.
- Eligible for internships and full-time opportunities related to AI, machine learning, data analytics, and business intelligence.