👋 About
As an Applied Scientist, I specialize in building intelligent systems that tackle complex problems. I'm particularly interested in Machine Learning, Causal Inference, and Signal Processing. Whether it's Backend Development, Data Engineering, DevOps, or even Embedded Development, I embrace new challenges and thrive on exploring innovative solutions!
Applied Scientist & Software Developer.
- Website: albertonietos.github.io
- City: Helsinki, Finland
- Degree: MSc in Electrical Engineering (2019) and Data Science (present)
- Email: ansnieto@gmail.com
Feel free to reach out if you're interested in my work or would like to discuss any topic. I'm always excited to explore new ideas and engage in meaningful technical or non-technical discussions 💡
⚒️ Skills
These are my skills and if you don't like them...well, I have others 🥸
- Areas
- Data Analysis, Machine Learning, Signal Processing, Software Development, Embedded Systems, Backend Development, Data Engineering.
- Languages
- Python, SQL, C#, R, Bash, C, MATLAB.
- Developer tools
- Git, Docker, Kubernetes, AWS, VS Code, JupyterLab, Visual Studio, Excel.
- Libraries
- Scikit-learn, Polars, Pandas, NumPy, SciPy, PyTorch, Flyte, MLflow, Matplotlib, Seaborn, Plotly, ggplot2.
📜 Resume
Education
Master of Science in Data Science
2021 - present
University of Helsinki, Helsinki, Finland
Machine Learning, Network Analysis, Bayesian Data Analysis, Time Series Analysis, Distributed Data Infrastructures and more!
Machine Learning, Data Science and Artificial Intelligence
2020 - 2021
Aalto University & others, Finland
Machine Learning, Speech Processing & Recognition, Deep Learning, Data Mining, Artificial Intelligence, Databases, C.
Master of Science in Electrical Engineering
2017 - 2019
Chalmers University of Technology, Göteborg, Sweden
Signal Processing, filtering, Time Series Analysis, Machine Learning. Stochastic Data Processing, Signal and Image Processing, Image Analysis, Modeling & Simulation.
Bachelor's Degree in Mechanical Engineering
2012 - 2017
University of Zaragoza, Spain | Aarhus University, Denmark (Erasmus)
Focused on core fundamentals including Mathematics, Physics, Statistics, and Electronics. Notable project: Designed, built, and programmed an autonomous self-driving robot in a small team.
Professional Experience
Applied Scientist
April 2024 - Present
Wolt, Helsinki, Finland
- Driving end-to-end development of ML models for estimating delivery and preparation times. Responsible for the full machine learning lifecycle: translating business problems into data science solutions, running experiments and deploying and maintaining models in production.
Data Scientist & Software Developer
October 2022 - November 2023
Playful Pixels Oy, Helsinki, Finland
- Data Science and Software Development for products in the healthcare and manufacturing domains.
Software Developer
March 2021 - October 2022
Omegawave Oy, Helsinki, Finland
- Embedded Firmware Development working on Signal Processing, Algorithm Development of ECG and Heart Rate Variability, Embedded Machine Learning, BLE and SPI communication, etc.
- Data Analysis, Sensor Fusion, Signal Processing and Machine Learning for biosignals.
Machine Learning Algorithm developer
June 2019 - March 2020
Medfield Diagnostics AB, Göteborg, Sweden
- Develop Machine Learning and Deep Learning models for classification of sensor data for medical diagnostics.
- Data Analysis, building Data Preprocessing pipelines and modeling frameworks.
- Research Machine Learning methods to improve the performance of the diagnostic systems for different data modalities
Master's Thesis Worker in Machine Learning
January 2019 - June 2019
Medfield Diagnostics AB, Göteborg, Sweden
- Research Deep Learning methods to create models for clinical data predictive analytics of intracranial hemorrhages and stroke.
- Transfer Learning involving Multi-task Learning and pretraining of Neural Networks using clinical, simulation and phantom data
BS Thesis Worker in 3D Multiscale Modeling
November 2016 - July 2017
University of Zaragoza, Spain
- Computational model of blood vessels during their collapse when metastasis occurs.
- Simulate and analyze data of parametric Structural Analysis to understand the gap formation that leads to collapse.
Operation & Maintenance Engineer Internship
Spring 2017
University of Zaragoza, Spain
- Optimize monitoring methods and recurrent failures.
- Analyze and improve performance of power plants.
🖼️ Portfolio
Let me show you the world projects I've worked on.
☎️ Contact
Location:
Helsinki, Finland
Email:
ansnieto@gmail.com