Ecommerce Data & Image Extraction
Extract product data and image assets from sitemap-listed ecommerce pages for migration, SEO audit, product catalogue review, and asset inventory workflows.
Useful for
Cyber-aware automation studio
Practical Python tools, ecommerce data extraction workflows, and security-aware automation for businesses that need cleaner data, fewer manual tasks, and better operational visibility.
Early-stage and founder-builder oriented. No fake dashboards, no fake client claims, just practical static proof and small fixed-scope workflows.
Services
Practical automation, data extraction, and cyber hygiene support for small businesses, ecommerce operators, and technical teams.
Extract product data and image assets from sitemap-listed ecommerce pages for migration, SEO audit, product catalogue review, and asset inventory workflows.
Useful for
Build lightweight scripts and workflows that reduce repetitive data collection, cleanup, reporting, and operational admin.
Useful for
Review basic security practices across accounts, access, MFA, backups, password handling, and operational risk exposure.
Useful for
Operational Problems
Focused workflow support for ecommerce data, product assets, CSV/JSON cleanup, automation, and basic security review.
Featured Project Evidence
Repositories and case studies demonstrating practical automation, security monitoring, structured exports, detection logic, and risk documentation.
2026
Python CLI for ecommerce product data extraction and image inventory workflows
Practical Python CLI / portfolio engineering project
Case study available
Repository available
Python CLI for extracting ecommerce product data and image assets from sitemap-listed pages, with Playwright rendering, JSON-LD preference, fallback extraction, SHA-256 deduplication, and CSV/JSON export.
Problem: Ecommerce migration, SEO audit, product-data review, and asset inventory workflows often require product information and image assets to be collected from many product pages. Manual review is slow, inconsistent, and difficult to organise.
Approach: Reads sitemap.xml URLs, filters likely product pages, renders pages with Playwright, extracts product data through structured and fallback sources, downloads images, deduplicates files with SHA-256 hashes, and exports CSV/JSON files.
Outcome: Demonstrates Python scripting, browser automation, data extraction, fallback logic, file organisation, documentation, and ethical-use awareness.
Tools / frameworks
Proof points
2026
ISO/IEC 27001:2022-aligned risk assessment based on a public company scenario
Structured portfolio / academic-style assessment project
Case study available
Artefacts coming soon
Structured ISO 27001-aligned risk assessment demonstrating risk identification, likelihood-impact scoring, control treatment planning, and governance-ready reporting.
Problem: Broad cyber threats needed to be translated into clear risk statements, prioritised exposure, and governance-ready treatment options.
Approach: Identified eight material risks, assessed likelihood and impact, then linked treatments to ISO/IEC 27001:2022-aligned control areas including MFA, EDR, PAM, vendor risk governance, cloud security posture management, awareness training, incident response readiness, and access review.
Outcome: Produced a governance-ready risk register and treatment summary showing how eight cyber risks could be prioritised and reduced through ISO 27001-aligned controls.
Tools / frameworks
Proof points
2026
Practical security monitoring and SIEM-style detection concepts
Portfolio lab / academic-style project
Case study available
Repository available
Python CLI for parsing Linux SSH authentication logs, detecting brute-force and suspicious login patterns, exporting structured alerts, generating SVG reports, and supporting local dashboard review.
Problem: Junior SOC work depends on recognising suspicious activity, triaging alerts, and explaining why a log pattern matters.
Approach: Worked with log sources and detection concepts commonly used in SIEM environments. Practised alert review, triage, escalation, suspicious activity identification, and connecting technical observations to broader security risk themes.
Outcome: Demonstrates the ability to interpret logs, identify suspicious patterns, and communicate findings in a security operations context.
Tools / frameworks
Proof points
Additional Lab
A concept lab for summarising alerts, documenting analyst decisions, and improving detection review workflows.
Additional Lab
A cloud access lab exploring IAM weakness, least privilege, MFA, privileged access, and policy review patterns.
Additional Lab
A concept lab for AI-specific risk mapping, prompt injection awareness, guardrail testing, and secure AI workflow notes.
How This Works
A practical enquiry path for reviewing the problem, defining a useful pilot, and delivering documented outputs.
Share the workflow, website, dataset, or operational task that is slowing things down.
I identify a practical scope, useful outputs, constraints, and any permission or data-quality limits.
The pilot defines inputs, outputs, limitations, and what a useful first version should produce.
The output may be a Python script, extraction workflow, CSV/JSON export, risk summary, or documentation pack.
The final handoff focuses on usable files, repeatable steps, and clear recommendations.
Role Alignment
Project evidence aligned to entry-level and cyber-adjacent roles across security operations, GRC, automation, and technical support.
Supported by SSH log analysis, detection rules, alert exports, reporting, and SOC-style investigation workflow.
Supported by ISO 27001-aligned risk assessment, risk register structure, likelihood-impact scoring, and control treatment planning.
Supported by CLI tooling, sitemap parsing, browser automation, CSV/JSON export, image organisation, and documented ethical-use boundaries.
Supported by practical security monitoring, cyber risk documentation, automation tooling, and clear project artefacts.
Supported by troubleshooting-oriented tooling, structured documentation, customer-aware communication, and operational workflow thinking.
Technical Capability Matrix
A focused view of risk analysis, security operations, automation, cloud identity, and technical foundations.
Technical fluency
hands-onPython scripting and data extraction workflows for operational, ecommerce, audit, and technical support contexts.
Product data extraction, product image inventory, asset review, and migration-oriented data preparation.
Structured analysis and clear security writing for assurance, compliance, and risk discussion.
Log analysis, suspicious activity review, alert export, reporting, and escalation context.
Practical fundamentals that support troubleshooting, investigation, documentation, and collaboration.
About / Studio Direction
I’m a cybersecurity graduate and automation builder focused on practical software tools for ecommerce, data extraction, cyber hygiene, and AI-ready workflows. My background combines cybersecurity study, customer operations, team leadership, and hands-on Python project work.
I’m building towards a cyber-aware automation studio that helps small businesses reduce manual work and improve operational visibility without pretending this is a finished SaaS company.
Cybersecurity study
Customer operations
Team leadership
Python project work
Written documentation
Contact
This site is static and backend-free. Email is the main contact path; GitHub shows the public project proof. No fake form submission, no payment flow, and no self-serve dashboard.