Aitor Chamizo

aitorchamizo.com

aitor@aitorchamizo.com

aitorchagon

aitorchamizo

Madrid, Comunidad de Madrid ESP

+34 630 198 595

Interests

Data Analytics (Data Storytelling, Business Analytics, Data Mining), Data Science (Data Cleaning, Data Preprocessing, Python, Statistics, Probability, Data Modeling, Data Storytelling), Artificial Intelligence (Deep Learning, Classical Machine Learning, Supervised Learning, Unsupervised Learning)

Skills

Programming Languages: R, Python, SQL

Toolsets/OS: Ubuntu, Git/GitHub, Windows, LaTeX, Office 365 (Excel, Word, PowerPoint)

Libraries: PyTorch, TensorFlow, Numpy, Pandas, Matplotlib, Seaborn, H2O, Scikit-learn, XGBoost, LightGBM, CatBoost

Cloud: Amazon ECS, Amazon Lambda, Amazon EMR, Apache Spark, Apache Hive, Apache Knox, Docker / Podman

Education

Universidad Nacional de EducaciĆ³n a Distancia, Spain

Master of Science, Data Science and Data Engineering

2024 - 2025

Business School of Barcelona, Barcelona, Spain

MBA, Business Administration and Management

2023 - 2025

Business School of Barcelona, Barcelona, Spain

Master's degree, Big Data and Business Analytics

2023 - 2025

Rey Juan Carlos University, Madrid, Spain

B.Sc., Biomedical Engineering

  • Artifical Intelligence and Learning
  • Probability and Statistics
  • Computer Networks
  • Databases
  • Optimization
  • Inference
  • Statistical Signal Processing
  • Analysis of Medical Images (Deep Learning)
  • Massive Data Processing

2018 - 2023

Complutense University, Madrid, Spain

B.Sc., Dentistry

2017 - 2018

Work

Data Scientist, sherpa.ai

I have led several lines of research regarding Federated Learning. I have also led use cases and projects.

  • Developed state-of-the-art ways of training and aggregating parameters for Random Forests, Gradient Boosting, and Support Vector Machines models
  • Led and developed a collagen mutation project over microscopy images on a project made in collaboration with the NIH and UCL
  • Led and developed customer churn projects in collaboration with Iberdrola, Telefonica, and Prosegur
  • Developed object detection projects in collaboration with Leonardo
  • Worked in cybersecurity threat detection in collaboration with NetApp

2023 - toda

Biomedical Engineer, Hospital Universitario Rey Juan Carlos

I was on a team in charge of deploying a life's biosensor.

  • Use of Arduino and BiTalino to record the accelerometer signal and predict on real time a fall.
  • Use of Python to create datasets in order to train a Naive Bayes classifier.
  • Use of RFID antennas to codify the information of the patient and make it available to the personnel.

2022 - 2023

Support Engineer, vordis technologies

I was in charge of VoIP incidences, as well as other SaaS technologies.

  • Maintain, update and translate client's documentation
  • Permanent contact with the client regarding the incidences
  • Troubleshoot Mitel and Zoom incidences, networking issues
  • Test hardware to be delivered to the client
  • Revision and maintenance of office's informatical system
  • Answer phone and email responses regarding HelpDesk incidences

2021 - 2022

Activities

Founder, ONGAWA - MUCAM

Helped with the organization of the Awareness section

  • Design the documents to explain people our mission
  • Help to organize the exchange textil markets over different locations
  • Gave several lectures on universities to explain our main purposes

2022 - 2023