I design and build production-grade web applications, data analytics pipelines, and mobile apps. I enjoy turning messy data and complex business rules into clean, reliable systems — from ERP integrations and dashboards to full-stack web and Flutter mobile clients. I combine strong algorithmic fundamentals with pragmatic engineering: shipping measurable features, automating the repetitive, and making analytics actionable.

Highlights:

• National academic top-1% in matriculation; strong foundation in mathematics and science.
• NCC-recognized Diploma in IT (Level 4 & 5); final year BSc in Information Technology for Business (UCL pathway).
• Practical experience with ERP systems, Django/Flask backends, React/Vue/Quasar frontends, and Flutter mobile apps.
• Comfortable with Docker, CI (GitHub Actions), relational DBs (MySQL/Postgres), cloud deployments (AWS / Cloudflare / Vercel).

• Scalable web platforms (Django/Flask + React/Vue + PostgreSQL)
• Analytics & BI: ETL, aggregation, KPI dashboards, and scheduled reporting pipelines
• ERP integrations and automation for business processes
• Cross-platform mobile apps built with Flutter
• DevOps & deployment automation: Docker, Nginx/Gunicorn, CI pipelines

Visit my GitHub for full source, issues, and live demos: github.com/winstonjames2

• ERP-Analytics — End-to-end pipeline: transactional DB → ETL → aggregated KPIs → React dashboard with scheduled reports and alerts. (Django, Celery, Postgres, Chart.js)
• Inventory Mobile — Cross-platform Flutter app for inventory counts and offline sync; integrates to the ERP backend with queueing and conflict resolution.
• Logistics Insights — Analytics module that computes customer acquisition/retention KPIs, cohort analysis, and rolling LTV. Easy to integrate with Django ORM models.

(If you want, I can add curated repo cards here pointing to the top 4 repos with a one-line summary each.)

• Write small, testable features. Prefer feature flags for safer rollout.
• Data-first: instrument events, design schema for analytics early, avoid ad-hoc SQL sprawl.
• Automate deploys and keep environments reproducible with Docker + CI.
• Prioritize observability: logs, metrics, error tracking, and health checks.

• Productionize ML inference for business features (fast, low-latency infra)
• Improve observability (distributed tracing + custom analytics metrics)
• Contribute more to open source libraries that I use in production

• Collaboration on analytics, backend, or mobile projects
• Internship / contract work on full-stack apps and data engineering
• Mentoring juniors on getting production experience with Django, APIs, and deployment

• Strong background in STEM and competitive academic results — I like problems with clear constraints and satisfying edge cases.
• I prefer building things that save people time: dashboards that answer real questions, integrations that remove manual steps.

• Star a repo, open an issue, or send a DM on GitHub.
• Email: [email protected] — or connect on LinkedIn.