Alberto Nieto's Internet Corner

👋 About

Applied Scientist 🧑‍🔬 who likes to build smart systems that solve real problems. I dive into everything from software and data science to machine learning, deep learning, and signal processing. Whether it's embedded systems, backend development, or data engineering, I'm always up for a new challenge and ready to explore something exciting.

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 drop me an email if you're curious about my work or just want to chat. I'm always up for a conversation about cool projects or new ideas 💡

⚒️ 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, .NET, C#, R, Bash, C, Matlab.
Developer tools: Git, Docker, k8s, AWS, VS Code, JupyterLab, Visual Studio, Excel.
Libraries: Scikit-learn, Pandas, NumPy, SciPy, Pytorch, TensorFlow, PySpark, Matplotlib, Plotly, Tidyverse, ggplot2.

📜 Resume

Education

Master of Science in Data Science

2021 - present

University of Helsinki, Helsinki, Finland

Machine Learning, Data Science, Bayesian Data Analysis, Time Series Analysis, Distributed Data Infrastructures and much 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

Life science, 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)

Mathematics, physics, statistics, electronics. Designed, built and programmed an autonomous self-driving robot.

Professional Experience

Applied Scientist

April 2024 - Present

Wolt, Helsinki, Finland

Working on ML-based delivery estimates in the logistics domain.

Data Scientist & AI Developer

October 2022 - November 2023

Playful Pixels Oy, Helsinki, Finland

Data science and software development for AI-based products.

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.