Industry Index

This ranking is generated by AI analyzing my skills, research interests, blog posts, education, and professional activities. The index updates regularly to reflect my evolving expertise and interests.

Last updated: November 06, 2025 at 9:06 PM

Top 5 Industries

#1

Higher Education ✓ Current Industry

95%
Relevance

The individual is currently working as a Research Assistant at New York University Abu Dhabi, indicating significant experience in the higher education sector. Their work involves advanced data analysis and economic modeling, which are critical in academic research.

Key Skills:
Python QGIS Data Analysis
#2

Data Science and Analytics

92%
Relevance

The individual's proficiency in programming languages like Python and R, alongside their data analysis skills, makes them highly suitable for the data science and analytics industry. Their experience with web scraping and economic modeling further underscores this fit.

Key Skills:
Python R SQL
#3

Geospatial Analysis

90%
Relevance

Their expertise in QGIS, GeoPandas, and ArcGIS, along with ongoing work analyzing urban commuter patterns, positions them well for roles in geospatial analysis. This industry benefits from their ability to interpret spatial data and create models.

Key Skills:
QGIS GeoPandas ArcGIS
#4

Technology

88%
Relevance

With strong skills in Python, C#, and data visualization tools, the individual is well-prepared for the technology sector. Their ability to develop algorithms and automate processes is particularly valuable in tech roles.

Key Skills:
Python SQL Git
#5

Urban Planning and Development

85%
Relevance

Their work on urban commuter patterns and labor market dynamics, combined with skills in spatial data analysis, makes them a valuable asset in urban planning. Their ability to analyze and model urban environments aligns with industry needs.

Key Skills:
QGIS GeoPandas Economic Modeling

Complete Rankings

#6
Economics and Financial Modeling
83%

Their research on economic modeling and proficiency in data analysis tools makes them relevant to the economics sector. They have experience in analyzing economic data, which is crucial for financial …

Stata Python Economic Modeling
#7
Machine Learning and AI
80%

Although their proficiency in TensorFlow and PyTorch is moderate, their strong foundation in Python and data manipulation tools provides a solid base for roles in machine learning and AI.

Python NumPy Scikit-learn
#8
Market Research
78%

Their skills in data analysis and economic modeling are highly applicable to market research. The ability to interpret complex data sets and derive insights is crucial in this industry.

Python Excel Data Analysis
#9
Consulting
76%

With a strong analytical background and proficiency in data visualization tools, the individual is well-suited for consulting roles that require data-driven decision-making and strategic analysis.

Tableau Power BI Data Analysis
#10
Software Development
75%

Their skills in programming languages such as Python and C# and experience with development environments like Unity make them a viable candidate for software development roles.

Python C# Git

How It Works

The Industry Index uses artificial intelligence to analyze:

  • Skills & Expertise: Technical and soft skills across all categories
  • Education: Academic background and field of study
  • Research Interests: Publications and working papers
  • Professional Experience: Work history and achievements
  • Content Creation: Blog posts and thought leadership
  • Career Trajectory: Timeline of professional development

Rankings are generated using OpenAI's GPT-4 and updated regularly to reflect new content and activities.