Services

I combine domain expertise in geopolitics and security studies with advanced quantitative and qualitative methodologies to identify emerging trends, assess strategic risks, and generate evidence-based insights. Drawing on data from social media platforms, public APIs, surveys, and open-source intelligence (OSINT), I analyze complex security environments in a systematic and rigorous manner.

Through the application of machine learning techniques, statistical modeling, and computational analysis, I can help studying contemporary geopolitical risk assessment, conflict forecasting and early warning analysis, strategic evaluation of emerging military technologies, and evolving forms of warfare, including drone and hybrid operations.

Analysis Outputs

• Dashboards and Interactive Visualizations: Custom-built analytical dashboards that translate complex datasets into clear, actionable insights.
• Research Reports: Structured, in-depth analytical reports tailored to institutional and strategic needs.
• Policy Briefs and Analytical Reports: Concise, evidence-based publications designed for broader professional and public audiences.

Data Acquisition

• Web and Open-Source Data Extraction: Python-based scraping (Requests, BeautifulSoup, Scrapy), API integrations, RSS monitoring, and automated collection from public datasets.
• Survey Design and Deployment: Qualtrics, LimeSurvey, Google Forms, Typeform; sampling strategies; questionnaire design; multilingual survey support.
• Expert Interviews and Qualitative Research: Structured and semi-structured interviews, transcription workflows, coding frameworks for cluster, classification, and thematic analysis.
• Social and News Media Monitoring: Keyword tracking, sentiment extraction, narrative mapping, and trend identification using NLP pipelines.

Data Processing and Management

• Data Cleaning and Transformation: Python, R, SQL.
• Database and Storage Solutions: Google Sheets, SharePoint/OneDrive.
• Metadata and Documentation: Data dictionaries, reproducible pipelines, and transparent methodological notes.
• Workflow Automation: API-based integrations, and automated reporting dashboards.

Data Modelling and Machine Learning

• Statistical and Exploratory Analysis: Descriptive statistics, hypothesis testing, segmentation, correlation analysis.
• Machine Learning and Predictive Modelling: Scikit-learn, XGBoost, clustering, classification, regression, topic modelling (LDA, CorEx).
• Natural Language Processing: Text cleaning, embeddings, sentiment analysis, entity extraction, narrative modelling.
• AI-Assisted Workflows: Prompt engineering, LLM-based summarization, document analysis, and custom model fine-tuning.
• Visualization and Reporting: Publication-quality charts (Matplotlib, Seaborn, Plotly), dashboards (Power BI, Tableau), and executive-level insights.

Research, Analytics, and AI Training

• Exploratory Data Analysis
• Advanced Machine Learning and AI
• AI Tools for Research and Knowledge Work
• NLP for Text-Heavy Workflows
• Data Quality, Ethics, and Responsible use of AI