Pranav Alok

About

B.S. student at TISS Mumbai specializing in analytics, sustainability, and climate data analysis. Experience in quantitative research, environmental datasets, and research workflows using Python and related analytical tools.

Experience

• Data & Research Intern
  Equidem
  May 2026 – Present

  Worked on quantitative research projects involving climate data, labour heat exposure, and decarbonization research. Processed, analyzed, and validated large-scale environmental datasets using Python for research and analytical applications. Contributed to research workflows involving heat-risk analysis, bibliometric analysis, and interpretation of quantitative findings.

Education

• B.S. in Analytics & Sustainability Studies
  Tata Institute of Social Sciences (TISS), Mumbai
  Analytics & Sustainability Studies · 2023 – 2027

Skills

• Data Analysis 1 to 2 years
• Data Analytics <3 months
• Research and Analytics 1 to 2 years
• Python 1 to 2 years
• Feature Engineering <3 months
• Matplotlib <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• Hypothesis Testing <3 months
• Technical Writing <3 months
• Statistical Analysis 1 to 2 years
• R <3 months
• GIS 1 to 2 years
• Experimental Design <3 months
• Regression Analysis <3 months
• Cross Validation <3 months
• Climate Data Analysis 1 to 2 years

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• IBM SPSS Statistics <3 months
• Microsoft Excel <3 months
• Microsoft Power BI <3 months
• PostgreSQL <3 months
• QGIS <3 months

Languages

• English Fluent Speak · Read · Write
• Hindi Native / Bilingual Speak · Read · Write

Projects

• FIFA 2026 Heat Risk Observatory
  Python, climate datasets, spatiotemporal analysis

  Analyzed heat exposure across FIFA World Cup 2026 stadiums using large-scale spatiotemporal climate datasets. Developed analytical workflows for WBGT, heat-risk classification, construction-period exposure, and extreme heat-event identification.

• Domestic Linkages, Trade Structure & Standards
  OECD input–output tables, Python

  Analyzed the evolution of India’s domestic production linkages from 2010–2022 using OECD input–output tables and a domestic Leontief inverse framework. Combined linkage analysis with India–EU merchandise trade data to assess trade structure and import dependence.

• Corporate Sustainability (BRSR) Analytics
  BRSR disclosures, quantitative analysis

  Conducted comparative empirical analysis of Indian steel companies using Business Responsibility and Sustainability Reporting disclosures. Operationalized qualitative sustainability disclosures into structured quantitative indicators and assessed transition-risk indicators.

📚 Publications

• Domestic Linkages, Trade Structure, and Standards: Evidence from Input–Output Analysis and India–EU Trade under the Proposed Free Trade Agreement. ↗ · 2026

🎯 Hobbies & interests

• Chess