Research Skills

Qualitative Research

  • Field research & ethnography: Extensive field interviews with gig workers, union organizers, and platform operators
  • Digital ethnography: WhatsApp group analysis, worker organizing networks, online community observation
  • In-depth interviewing: Structured and semi-structured interviews with delivery workers, union leaders, policy stakeholders
  • Document analysis: Corporate annual reports, prospectuses, regulatory filings, policy documents
  • Literature review: Systematic literature reviews across labour studies, platform capitalism, political economy

Quantitative Research

  • Survey design: Primary data collection instruments, questionnaire development, pilot testing
  • Large-scale datasets: NSS, PLFS, administrative data analysis
  • Statistical analysis: Descriptive statistics, regression analysis, data visualization
  • Mixed methods: Integration of qualitative insights with quantitative data

Policy Analysis

  • Policy interpretation: Labour regulations, social security schemes, platform governance frameworks
  • Institutional analysis: Regulatory environments, enforcement mechanisms, policy gaps
  • Policy-relevant research: Translating academic findings into actionable policy recommendations

Technical Skills

Programming & Data Analysis

Programming Languages: Python, R, STATA

Python

  • Data scraping and web automation for academic research
  • Data cleaning, processing, and analysis
  • Automation of repetitive research tasks

Data Analytics Certification

Google Data Analytics Professional Certificate (February 2026)
9 courses developed by Google, completed via Coursera

Competencies gained:

  • Spreadsheets (advanced Excel, Google Sheets)
  • SQL (data querying and manipulation)
  • Tableau (data visualization)
  • R programming for data analysis
  • Data preparation: cleaning, transformation, validation
  • Data processing: sorting, filtering, aggregation
  • Data analysis: exploratory analysis, statistical methods
  • Data visualization: dashboards, charts, storytelling with data
  • Introduction to Python for data analysis

Certificate verification: coursera.org/verify/professional-cert/FXE899DMFV7T

Survey & Field Tools

KoboToolbox / ODK

  • Form creation and deployment
  • Mobile data collection design
  • Field investigator training
  • Data quality monitoring and validation
  • Real-time data collection management

Demonstrated experience:

  • Deployed survey instruments for ICCSR project (UP gig economy study)
  • Trained field investigators on mobile data collection
  • Coordinated multi-site data collection processes

Research & Data Tools

  • PLFS & NSS datasets: Large-datasets secondary data analysis
  • Reference management: Zotero, citation management
  • Version control: GitHub (for research reproducibility and collaboration)

Technical Capabilities

Platform Infrastructure

  • Understanding of APIs, algorithmic systems, data flows
  • Reverse-engineering platform control mechanisms
  • Technical documentation analysis (developer docs, API specs)

AI Tools & Research Automation

  • LLMs and AI agents for research assistance
  • Workflow automation and task scheduling
  • Research pipeline optimization

Development Tools

  • GitHub workflows and version control
  • Linux environments and command-line tools
  • Automation scripting (Python, bash)

Languages

  • Hindi: Native
  • English: Bilingual (fluent)
  • Bhojpuri/Awadhi: Native

Certifications

Google Data Analytics Professional Certificate
Coursera, February 2026
9-course program covering:

  • Foundations: Data, Data, Everywhere
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data for Exploration
  • Process Data from Dirty to Clean
  • Analyze Data to Answer Questions
  • Share Data Through the Art of Visualization
  • Introduction to Data Analysis Using Python
  • Google Data Analytics Capstone: Complete a Case Study
  • Accelerate Your Job Search with AI

Verify certificate

What I Can Help With

If you’re looking for collaboration or consultation, I can contribute in these areas:

Areas of Expertise

Research Methods

  • Qualitative and mixed-methods research
  • Field research and ethnography
  • Survey design and data collection
  • Statistical analysis and visualization

Platform & Labour Studies

  • Algorithmic management analysis
  • Platform capitalism research
  • Worker resistance and unionization
  • AI and labour

Policy & Communication

  • Policy brief development
  • Research-to-policy translation
  • Public scholarship and op-ed writing

Contact

Interested in collaboration? Reach out:

Email: maurya.abhinava@gmail.com