CV — Curriculum Vitae
Toni Siik
Manufacturing Data Scientist · Quality & Process Intelligence
00 — Summary
Foundry engineer turned manufacturing data scientist with 14+ years architecting, fixing and optimizing high-value casting operations across Europe (automotive, marine, aerospace). I own the manufacturing decision loop — detect, measure, explain, intervene, standardize — turning fragmented plant, lab, supplier and ERP data into causal root causes, production policies and measurement gates operators actually use. Rare full stack: metallurgy + ERP/SAP + applied ML/CV + data platforms.
5M+CHF
Scrap value recovered
50%
Scrap-rate reduction
80%
Prototype-effort cut
10k+
Tensile bars modelled
01 — Experience
2022 — Present
Production Engineer / Foundry Expert (2024–present) · Foundry Manager (2022–2024)
Georg Fischer JRG AG · Sissach, CH
- Root-caused a 5M+ CHF metallurgical defect with a multi-source data program (5 systems, ~2,000 charges), Design of Experiments and SEM/EDX; drove a zero-CAPEX process-policy change + production fix; replaced subjective inspection with quantitative acceptance criteria.
- Built production ML & computer-vision systems (scrap forecasting, automated grain-size measurement) and a reproducibility / data-governance platform.
- Plant-wide data management & analysis; automated core-shop vision; corrected false SAP cost models; defined the DFM review; 5S, Kanban (~30% lead-time gain), safety planning.
2019 — 2022
Technical Director / Head of Foundry
Metallgiesserei Wilhelm Funke GmbH · Alfeld (Leine), DE
- Led the QMS transformation to AS9100 aerospace certification, opening a new high-value market.
- Embedded simulation (Flow3D) as a core design tool — +50% yield, −60% chills, sub-5-day 3D-printed-mold prototypes.
- Root-caused magnesium & copper-alloy defects; direct design support to Rimac on next-gen electric engines.
2015 — 2019
Senior Project Engineer / Simulation Specialist
Nemak Wernigerode GmbH · DE
- Rescued an engine-block launch by root-causing hot tearing with process-parameter changes alone — avoided a costly tooling change.
- Built a predictive material-property tool from 10,000+ tensile bars to secure SOP; created an SQL framework to leverage process data across the chain.
2011 — 2015
Product Development Engineer / Lead Design Engineer
Componenta · Helsinki, FI
- Supported a 300,000+ t/yr foundry network; led 10-tonne wind-turbine hubs & marine castings (clients incl. Wärtsilä).
- Cut scrap 50% via simulation + process-data analysis; calibrated MAGMAsoft to high defect/property correlation.
02 — Education & Certifications
2005 — 2011
MSc & BSc
Metal Materials & Manufacturing · Tampere University of Technology, FI
2026
Lean Six Sigma Green Belt
Completed
Cert.
AS9100
Aerospace quality systems · implementation lead
03 — Languages
- Finnish — native
- English — native
- German — fluent
- Swedish — moderate
- Dutch — moderate
★ — Recognition
Featured interview — Valimoviesti 1/2026 (Finnish Foundrymen's Association).
04 — Capabilities
Data Science
- Causal inference
- Design of Experiments
- SPC
- SHAP
- XGBoost / Random Forest
- CV & deep learning
Engineering
- Python · SQL
- Parquet · DuckDB · Polars
- FastAPI
- Electron / React
- MCP servers
- PyTorch · Cellpose-SAM
Domain
- Foundry & metallurgy
- Quality engineering
- ERP / SAP master data
- Casting simulation
- Defect & scrap analysis
- Measurement gates
Method & Quality
- DMAIC · Lean Six Sigma
- AS9100 · ISO 9001
- 5S · shopfloor mgmt
- FMEA
- CAPEX projects
- Stakeholder mgmt