Martí Zamora Casals
Verified Expert in Engineering
Machine Learning Developer
Barcelona, Spain
Toptal member since February 2, 2018
Martí is a computer and data scientist with accountable experience in health and IoT data industries and the type of person who is capable of finding actionable insights in data and implementing them in real products. He is able to quickly adapt to new environments, work autonomously, and provide new ideas if needed. Due to his background, he fills out the engineer, scientist, and entrepreneur roles quite well.
Portfolio
Experience
- Python - 4 years
- JavaScript - 4 years
- Node.js - 4 years
- Machine Learning - 2 years
- R - 2 years
- Data Analysis - 2 years
Availability
Preferred Environment
MacOS, Linux, Unix, RStudio, Git, Atom
The most amazing...
...project I've been involved is the design and development of a platform to analyze medical administrative data which helps doctors to extract new hypotheses.
Work Experience
Lead Data Scientist | Developer
Amalfi Analytics
- Developed ANIS: a platform that allows medical doctors to analyze different electronic health record datasets.
- Created a new method to analyze medical trajectories; the method finds and represents temporal and non-temporal relations happening during a period of time such as the evolution of a disease or an intensive care unit stay in a hospital using data from Hospital de Sant Pau (Barcelona) and MIMIC III MIT's dataset.
- Optimized the hospitals' emergency departments. This was a government-funded project in which we predicted if an arriving patient would get admitted or not and which resources he or she would need (X-rays, specialized doctors, and the like)—reducing the stay in the emergency department by up to a 30%.
- Provided advice and coordination between the developers and students while implementing their research in our tools such as ANIS.
- Interviewed and worked directly with medical doctors and hospital managers in order to analyze their needs and design and develop useful solutions.
Data Scientist | Back-end Developer
thethings.iO
- Designed and developed data flows for IoT data to allow customers to send and analyze the data produced by their own devices.
- Analyzed data from important customers including data from swimming pools and elevators.
- Scrutinized data from Facebook ads to detect market segments and target customers.
- Made contributions the core API design and implementation.
- Participated in the first iterations of the front-end.
Research Student
Polytechnic University of Catalonia
- Developed software to analyze electronic health records. The software found typical comorbidity and polymedication patterns as well as outliers in the disease-prescription combinations.
- Improved an algorithm that detected parked cars from magnetic sensor data.
Experience
DSAA 2015 Publication
http://ieeexplore.ieee.org/abstract/document/7344870/Published in October, 2015 in Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on (pp. 1-9). IEEE.
The paper characterizes chronic disease and polymedication prescription patterns from electronic health records.
Second Prize in the Big Data Talent Awards 2017
This was organized by Barcelona’s Big Data Center of Excellence and sponsored by Oracle (October, 2017).
Education
Master's Degree in Data Science
Polytechnic University of Catalonia - Barcelona, Spain
Bachelor's Degree in Computer Science
Polytechnic University of Catalonia - Barcelona, Spain
Skills
Libraries/APIs
Node.js, Pandas, React, NumPy, SciPy, Scikit-learn
Tools
Atom, Git, Weka
Languages
Python, JavaScript, R, Java, C, C++
Storage
MongoDB, Redis, Elasticsearch, Cassandra, MySQL
Frameworks
Flask, Express.js
Platforms
RStudio, Unix, Linux, MacOS
Other
Machine Learning, Data Analysis, Data Structures, Mixed-integer Linear Programming, Cryptography
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