プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Mrinal Kar M.に依頼

India

R & Python Programming Expert | 8+ Years in Data Science, Machine Learning & Advanced Analytics

プロフィール概要

I am a data science and machine learning specialist with 8+ years of experience applying R and Python programming to solve complex problems across public health, agriculture, urban systems, and development sectors. Trained as a clinician (BHMS), public health specialist (MPH) and Statistician (PGDAST), I combine domain knowledge with advanced statistical modeling, AI/ML techniques, and full-stack analytics pipelines to deliver decision-ready insights. My expertise spans predictive modeling, natural language processing, survival analysis, time-series forecasting, classification/clustering, and geospatial analytics. I design and implement end-to-end digital data systems — from electronic data capture (ODK, KoBo, REDCap) to automated ETL workflows, real-time dashboards (R Shiny, Plotly Dash, Power BI), and reproducible reporting pipelines following Tidy Data and Quality-by-Design principles. I have delivered data-driven solutions for multi-state and national projects funded by World Bank, JICA, UNICEF, ADB, and state governments, as well as sectoral studies in livestock, dairy, urban waste management, and rural livelihoods. Key achievements include: COVID-19 Aid & Vaccination Analytics: Built real-time dashboards tracking 33M+ medical aid items during India’s COVID-19 emergency and 15M+ vaccination records for multiple states, enabling rapid program adjustments. Health Systems Research: Co-authored peer-reviewed studies on vaccine delivery, fortified nutrition programs, malaria risk scoring, and social determinants of health. Advanced Machine Learning: Developed and deployed classification models, forecasting tools, and clustering algorithms to optimize service delivery and resource allocation. Capacity Building: Trained 200+ professionals in data tools, statistical methods, and analytics workflows, improving institutional capabilities in evidence-based decision-making. Technical skills include R, Python, SQL, Redis, PostgreSQL, SAS, SPSS, Epi-Info, QGIS, HL7, CDISC (SDTM, ADaM), and cloud-based collaboration tools. I emphasize open-source solutions, reproducible research, and scalable architecture to ensure lasting value for clients. Whether you need a custom ML model, robust statistical analysis, interactive dashboard, or automated reporting system, I bring a rare blend of technical fluency, analytical rigor, and domain insight to deliver high-impact results.

専門分野

• ☆ Biostatistics
• ☆ Data Collection
• ☆ Knowledge Management
• ☆ Taxonomy/Classification
• ☆ Information & Knowledge Management
• ☆ Health Policy
• ☆ Python
• ☆ SPSS
• ☆ SQL
• ☆ Excel
• ☆ Tensorflow
• ☆ STATA
• ☆ R
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Health Technology Assessment
• ☆ Healthcare Administration & Management
• ☆ Healthcare Quality Improvement
• ☆ Social Medicine
• ☆ Health Risk Assessments
• ☆ Rural Health
• ☆ School Health Services
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Meta-Research
• ☆ Feasibility Studies
• ☆ Technology Scouting
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Gray Literature Search
• ☆ Presentation Design
• ☆ Graphic Design
• ☆ Continuing Medical Education (CME) Training
• ☆ Skills Training
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ Experimental Protocols
• ☆ SOP & Protocol Writing
• ☆ Case Studies
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Grant Writing
• ☆ Nonprofit Organization Administration
• ☆ Management Information Systems

サービス

• Writing

Writing Clinical Trial Documentation, Medical Writing, Non-Medical Regulatory Writing, Technical Writing

職務経験

Monitoring and evaluation officer

John Snow Incorporation

9月 2019 - 現在

MLE Specialist

CARE

10月 2020 - 10月 2021

Research Associate

Public Health Foundation of India

6月 2017 - 8月 2019

Consultant data analyst

Public Health Foundation of India

4月 2017 - 6月 2017

Research Associate

Public Health Foundation of India

10月 2016 - 3月 2017

AYUSH Medical Officer

Odisha Department of Health and Family Welfare

7月 2014 - 7月 2016

学歴

MPH (Public Health)

Utkal University

8月 2015 - 8月 2017

BHMS (Homoeopathy)

Mayurbhanj Homoeopathic Medical College and Hospital

8月 2003 - 8月 2009

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Mrinal Kar Mohapatra, Ashirbad Pradhan, Divya Tiwari, Shariqua Yunus, Binod Kumar Patro, Binod Kumar Behera, Suchanda Sahu, Vikas Bhatia, Shreeporna Bhattacharya, Pradnya Paithankar, et al. (2023). Effectiveness of Fortified Mid-Day Meal in Reducing Anemia Among School Children in Dhenkanal, Odisha: A Quasi-Experimental Study . Food and Nutrition Bulletin.

Prem Singh and Pritu Dhalaria and Satabdi Kashyap and Gopal Krishna Soni and Partha Nandi and Shreeparna Ghosh and Mrinal Kar Mohapatra and Apurva Rastogi and Divya Prakash(2022). Strategies to overcome vaccine hesitancy: a systematic review . Systematic Reviews. 11. (1). Springer Science and Business Media {LLC}

(2020). Programmatic assessment of electronic Vaccine Intelligence Network (eVIN) . PloS one.

(2020). Effect of caste on health, independent of economic disparity: evidence from school children of two rural districts of India . Sociology of Health & Illness.

(2019). Prevalence of afebrile malaria and development of risk-scores for gradation of villages: A study from a hot-spot in Odisha . PLOS ONE.

Mrinal Kar Mohapatra, Sudharani Nayak, Bhuputra Panda(2019). Prevalence of and factors contributing to anxiety, depression and cognitive disorders among urban elderly in Odisha – A study through the health systems’ Lens . Archives of Gerontology and Geriatrics. 80. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 38--45. Elsevier {BV}

Panda, B., Mohapatra, M.K., Paital, S., Kumbhakar, S., Dutta, A., Kadam, S., Salunke, S., Pradhan, M.M., Khurana, A., Nayak, D., et al.(2019). Prevalence of afebrile malaria and development of risk-scores for gradation of villages: A study from a hot-spot in Odisha . PLoS ONE. 14. (9).

Nayak, S., Mohapatra, M.K., Panda, B.(2019). Prevalence of and factors contributing to anxiety, depression and cognitive disorders among urban elderly in Odisha – A study through the health systems’ Lens . Archives of Gerontology and Geriatrics. 80. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 38-45.