プロフィール詳細

プロジェクトを作成

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Dr. Avipsa R.に依頼

India

Freelance science writer with 1+ years of experience in Data Science, AI, manuscript preparation, scientific editing

プロフィール概要

I hold a PhD in Geographic Information Science from a leading university in the United States, and my expertise is in data science, machine learning and spatial analysis. I am an invited peer-reviewer for several top-tier journals and have authored 14 scientific manuscripts. I also have 10+ years of experience presenting research data (both poster and oral presentations) at international scientific conferences. I can provide help with experiment and study design, manuscript writing, editing, and other forms of data communication viz. crafting presentations, website design, and content editing. I have worked as a consultant for pharmaceutical companies designining AI based solutions for customer relationship management. I have also helped state and county level transportation authorities in making sense of big data on transportation movements.

専門分野

• ☆ Computer Science
• ☆ Transportation
• ☆ Data Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Machine Learning
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Correlation Analysis
• ☆ Earth & Atmospheric Science
• ☆ Geographic Information Systems (GIS)
• ☆ Biogeography
• ☆ Urban Planning
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ R
• ☆ Scikit-learn
• ☆ Oracle
• ☆ Markup Languages

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, General Proofreading & Editing

Research Feasibility Study, Technology Scouting, Scientific and Technical Research

Consulting Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Big Data Analytics

Product Development Formulation, Concept Development, Prototyping

職務経験

Senior Salesforce AI Consultant

Cognizant Technology Solutions

7月 2025 - 現在

Assistant Professor

University of California Irvine

7月 2021 - 現在

Faculty Affiliate

UCI- Institute of Transportation Studies

2021 - 現在

学歴

PhD in Geography (College of Liberal Arts and Sciences, School of Geographical Sciences and Urban Planning )

Arizona State University

8月 2017 - 6月 2021

MSc in Geoinformatics (Institute for Geoinformatics, School of Geosciences)

Westfälische Wilhelms-Universität Münster

2017 - 2019

BSc in Computer Science (St. Xavier's College Kolkata, Department of Computer Science)

University of Calcutta

2007 - 2011

認定資格

• Neural Networks and Deep Learning

  Deep Learning.AI, Coursera

  1月 2025 - 現在

• SQL for Data Science

  UC Davis, Coursera

  8月 2023 - 現在

• Data Visualization with Python

  Duke University, Coursera

  8月 2023 - 現在

出版物

JOURNAL ARTICLE

Avipsa Roy, Shengxiang Jin, Huixin Zheng, Nicholas Marantz (2024). Understanding the effects of socioeconomic factors on housing price appreciation using explainable AI . Applied Geography.

Avipsa Roy, Trisalyn Nelson, Pavan Turaga (2023). Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns . Transportation Research Interdisciplinary Perspectives.

Roy, A., Nelson, T., Turaga, P.(2023). Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns . Transportation Research Interdisciplinary Perspectives. 17.

Avipsa Roy, Mankin Law (2022). Examining spatial disparities in electric vehicle charging station placements using machine learning . Sustainable Cities and Society.

Avipsa Roy, Daniel Fuller, Trisalyn Nelson, Peter Kedron(2022). Assessing the role of geographic context in transportation mode detection from GPS data . Journal of Transport Geography. 100. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 103330. Elsevier {BV}

Avipsa Roy, Bandana Kar (2022). A multicriteria decision analysis framework to measure equitable healthcare access during COVID-19 . Journal of Transport & Health.

Roy, A., Kar, B.(2022). A multicriteria decision analysis framework to measure equitable healthcare access during COVID-19 . Journal of Transport and Health. 24.

Nelson, T.A., Ferster, C., Roy, A., Winters, M.(2022). Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage . International Journal of Sustainable Transportation.

Roy, A., Law, M.(2022). Examining spatial disparities in electric vehicle charging station placements using machine learning . Sustainable Cities and Society. 83.

Avipsa Roy, Mankin law(2021). A geospatial data fusion framework to quantify variations in electric vehicle charging demand . Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities. {ACM}

Nelson, T., Roy, A., Ferster, C., Fischer, J., Brum-Bastos, V., Laberee, K., Yu, H., Winters, M.(2021). Generalized model for mapping bicycle ridership with crowdsourced data . Transportation Research Part C: Emerging Technologies. 125.

Avipsa Roy, Daniel Fuller, Kevin Stanley, Trisalyn Nelson (2020). Classifying Transport Mode from Global Positioning Systems and Accelerometer Data: A Machine Learning Approach . Findings.

Avipsa Roy, Edouard Fouché, Rafael Rodriguez Morales, Gregor Möhler(2019). In-Database Geospatial Analytics using Python . Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities. {ACM}

Avipsa Roy, Trisalyn A. Nelson, A. Stewart Fotheringham, Meghan Winters(2019). Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists . Urban Science. 3. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 62. {MDPI} {AG}

Avipsa Roy, Trisalyn A. Nelson, A. Stewart Fotheringham, Meghan Winters (2019). Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists . Urban Science.

Roy, A., Nelson, T.A., Fotheringham, A.S., Winters, M.(2019). Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists . Urban Science. 3. (2).

CONFERENCE PAPER

Law, M., Roy, A.(2021). A geospatial data fusion framework to quantify variations in electric vehicle charging demand . Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, ARIC 2021. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 23-26.

Roy, A., Kar, B.(2020). Characterizing the spread of COVID-19 from human mobility patterns and SocioDemographic indicators . Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, ARIC 2020. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 39-48.

Roy, A., Pebesma, E.(2017). A machine learning approach to demographic prediction using geohashes . Proceedings - 2017 2nd International Workshop on Social Sensing, SocialSens 2017 (part of CPS Week). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 15-20.

REPORT

Avipsa Roy, Kurt Solander, Min Chen, Emily Casleton, Mark Wahl, Ahmad Tavakoly, Emma Lathrop, Cathy Wilson (2019). Climate variability and fill rate impacts on downstream flows from the Grand Ethiopian Renaissance Dam [Sheets] .