// identity

Piotr Marciniak

> statistics.student · ai_ml.focus

I study the math behind modern ML — optimization, high-dimensional inference, kernels, neural nets.

// status

roleStatistics · MSc

placeETH Zürich

locationWarsaw/Zürich · CET

emailcontact@piotr-marciniak.com

↓ download cv.pdf

01 // about

Statistics student at ETH Zürich. Before that, Data Science & AI at Maastricht University.

interests

[x] Statistical learning theory
[x] Linear models
[~] Triathlon
[x] Regularization
[x] Predictive modelling
[~] Chess

02 // currently

Current projects

Athena

Courses

Introduction to Machine Learning
Convex Optimization
Computational Statistics
High-Dimensional Statistics
Core Concepts in Statistical Learning

Notes

03 // work_log

2 entries

# project title summary ↗

/02 OptimSim Data Analyst Part-time analyst role — warehouse optimization, anomaly detection, scheduling analysis, simulation, and automated reporting. Jun 2024 – Mar 2026. ↗ /01 Sibelco Research Intern Two-year KE@Work internship — ball mill energy optimization via predictive modeling, time-series analysis, data quality engineering, and automated setpoint control. Sep 2023 – Jul 2025. ↗

04 // personal_projects

1 entry

# project title summary ↗

/01 Athena Personal project Personal quant research project — 145-feature pipeline across technical, fundamental, sentiment, and peer layers; XGBoost/LSTM models; walk-forward backtesting; ranked daily forecasts. ↗

05 // contact

Want to talk? → contact@piotr-marciniak.com