Work with me
I work with organizations, teams and researchers on focused problems across data, AI, analytics, engineering and technology. The goal is not to add another tool — it is to create a useful, defensible outcome.
Areas I can help with
Engagements can range from a short technical consultation to a scoped implementation, workshop or research collaboration.
Turn scattered data and unclear reporting into decision-ready analytics.
Fragmented data, unclear KPIs, manual reporting, forecasting and analytical decision support.
Analytics design, KPI framework, forecasting approach, dashboards, data models and implementation roadmap.
Build reliable data flows between operational systems and analytics tools.
Disconnected ERP/database/API sources, repetitive manual exports, unreliable pipelines and inconsistent reporting data.
ETL/ELT pipelines, validation rules, integration design, analytics-ready models and technical documentation.
Evaluate where machine learning can create practical value and build focused solutions.
Forecasting, anomaly detection, prediction, classification, decision support and applied AI use cases.
Problem framing, feasibility assessment, prototype/PoC, model evaluation and implementation recommendations.
Connect technology decisions to business processes, data and long-term operating needs.
Tool selection, fragmented systems, manual workflows, process automation and technology roadmap decisions.
Architecture recommendations, technology roadmap, system/process integration plan and vendor/project evaluation.
Practical training for teams that need to use data and AI more effectively.
AI adoption, data literacy, practical GenAI workflows, Python/data analysis and applied machine learning.
Custom workshop plan, training sessions, exercises, examples and practical implementation guidance.
Technical collaboration on data/AI research where rigorous implementation matters.
Research coding, experiment design, reproducibility, model evaluation and applied AI research.
Research implementation, experimental workflow, technical review, reproducibility support and mentoring.
How I work
Define the decision, bottleneck, research question or operational outcome that matters.
Review the available data, systems, constraints and the smallest useful path forward.
Deliver the agreed work with clear evaluation, documentation and next-step recommendations.
Start a conversation
A short brief is enough. The information you submit is used to review your inquiry and respond to you.
