Ander Akier Ayucar Chasco
Junior Computer Engineer Data · Software · ML & AI
I turn complex data into useful solutions. Real industry experience (Michelin) with real-time systems. Available for immediate start.
About me
Computer Engineer with hands-on experience in data, software and Machine Learning applied to a real industrial environment (Michelin). I specialise in turning complex data into useful solutions: from building ETL pipelines and monitoring dashboards to developing and deploying predictive models to production.
I work mainly with Python, SQL, Power BI and Dataiku, and I am comfortable on both the data side and the software development side. I have an active curiosity for AI and automation — this very portfolio integrates a chatbot via Gemini + Groq as an example. International experience through Erasmus in the Czech Republic (Universita Pardubice, 2024–2025).
Currently finishing my Bachelor's thesis on membrane burst prediction with ML at Michelin — real industrial data, feature engineering, predictive modelling and a real-time inference system with calibrated probability. Defence scheduled for June 2026.
Location
Navarre, Spain
Availability
Immediate — full mobility
Mobility
Driving license B + own vehicle
Age
23 years old
Languages
Experience
Michelin
Data Engineer / Data Analyst Intern
Company internship at Michelin's factory in Aranda de Duero, combining shop-floor and office work with the Bachelor's thesis development. Industrial mentorship: factory's Digital Expert + day-to-day technical mentoring from the team's Data Analyst.
- •Development of ETL pipelines using Python, Dataiku and PySpark on large-scale industrial production data
- •Exploratory data analysis (EDA) and statistical analysis of manufacturing data to detect patterns and anomalies
- •Building and validating ML models for fault prediction (predictive maintenance) — including a real-time inference system with a synchronised flow every 3 minutes and calibrated burst probability
- •Creation of Power BI dashboards for KPI monitoring and anomaly detection in production
- •Continuous conversations with operators and production engineers to understand the 'data lifecycle' and translate real problems into technical solutions
- •Collaborative teamwork under Agile/SCRUM methodology in a real production environment
KYB
Quality Specialist Operator
Industrial production line work with quality control of automotive components.
- •Quality control of automotive components on industrial production line
Tasubinsa
Factory Worker
Industrial production line work.
- •Industrial production line work
Projects
Bachelor's Thesis — Michelin
Membrane Burst Prediction System
Early-warning system for curing presses at Michelin's factory in Aranda de Duero, using one year of real industrial production data.
- •Feature engineering on industrial time series: rolling windows, max/min, standard deviation, AUC and absolute slope computed by curing stages
- •Tested several algorithms (Random Forest, XGBoost, among others) and chose LightGBM as the final model for its balance between performance and inference latency
- •Real-time inference system with a synchronised flow every 3 minutes and calibrated burst probability combining model output + historical observations
- •Key result: more than 50% reduction in false positives compared to the previous method, with severity-graded alerts
Tech stack
Code is confidential under agreement with Michelin — real industrial data
>50%
False positive reduction
vs. previous method
Skills
Languages
Python (Data)
ML / AI
Visualisation / BI
Databases
Cloud
Industrial / OT
Tools / DevOps
Methodologies
Education
Bachelor's Degree in Computer Engineering
University of Burgos
2021 – 2026
Bachelor's Thesis
Membrane Burst Prediction via Data Analysis and Machine Learning
Developed at Michelin (Aranda de Duero) with real industrial data. Defence scheduled June 2026.
Erasmus — Computer Science
Universita Pardubice
Czech Republic
Sep 2024 – Jun 2025
Erasmus year with advanced programming training, international teamwork and English in a daily real academic context. Standout subject: 'Management of Operating Systems' for the lecturer's proactive pedagogy. Beyond the academic content, the year gave me independence and taught me to face new problems while interacting daily with people from many different cultures, all in English.
Certifications
Cambridge First Certificate in English (B2)
Cambridge Assessment English
Python — Complete Course (220h)
Edutin Academy
Claude Code in Action
Anthropic
Contact
Got an offer or want to know more? Write to me directly or download my CV.
Location
Navarre, Spain
Availability
Immediate — full mobility — open to remote