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Hello there, I am Carlos! 😎 🌴


I have been working with data of many different types for over five years. From images and tables to genomic data, I have applied statistics and machine learning in order to answer key questions in both academia and industry.

As an independent data scientist, I use data to help businesses reach their goals. Everything starts with a deep understanding of the needs and targets of my clients, from which I can craft a customised solution adapted to their budgets and timelines.

I leverage my dual background in computer science and business management, as well as the skills acquired during my PhD, to identify business needs and develop innovative solutions using state-of-the-art technologies.

Curious to know how data can be used to drive your business forward? Contact me today and let’s have a call to find out.

My background and experience:

  • PhD(c) in Bioinformatics, M.Sc. in Artificial Intelligence and B.Sc. in Computer Engineering.
  • More than 5 years of experience in data analysis and machine learning in different domains.
  • Focus on Python data stack, from Pandas and Numpy to PyTorch and Streamlit.

Check out my public projects on GitHub to get an idea of how I work.

Carlos Uziel Pérez Malla's Projects

albumentations icon albumentations

fast image augmentation library and easy to use wrapper around other libraries

camvid icon camvid

Copy of the camvid labeled dataset

citelinks icon citelinks

Streamlit application that converts URLs in a given text to their corresponding BibTeX citations.

de-capstone icon de-capstone

Extracting insights from U.S. Inmigration Data - Data Engineer Nanodegree Capstone Project

deepmedic icon deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

dense3dcrf icon dense3dcrf

Fully-connected (dense) 3D CRF for processing biomedical scans

diabetes-drug-testing icon diabetes-drug-testing

Identifying which patients to include or exclude from the clinical trials of a new diabetes drug based on predicted hospitalization time given by a machine learning regression model

fsi icon fsi

Prácticas de Fundamentos de los Sistemas Inteligentes

fsip2 icon fsip2

Fundamentos de sistemas inteligentes - Práctica 2

goi-strat icon goi-strat

GoiStrat - A novel supervised approach to gene of interest based sample stratification and analysis to assess biological differences

hyppocampal-vol-quant icon hyppocampal-vol-quant

Quantifying Alzheimer's Disease Progression Through Automated Measurement of Hippocampal Volume

ischleseg icon ischleseg

M.Sc. Dissertation: Ischemic Stroke Lesion Segmentation using Convolutional Neural Networks

milq icon milq

Useful code of Manuel Ignacio López Quintero

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

niftynet icon niftynet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

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