Daniel Cañueto Email & Phone Number

Barcelona, CT, ES

Barcelona, Cataluña, España

- Developed and deployed Risk Score to increase accuracy by 1% and automation by 3% at our largest client. Developed external exposure to clients with appropriate model governance. - Developed and deployed Risk Score to reduce false negative rate (at some moments 25%).- Developed and deployed real-time service to identify anomalies in documents caused by.

Barcelona, Cataluña, España

Maintenance of projects below and assistance to other projects.

Barcelona, Cataluña / Catalunya, España

Prototyping + deployment of ML models to prevent fraud in payments, with the best combination between precision, recall and monetization.1. Training+deployment of two low-latency real-time ML models to prevent unpaid cash orders:- Tools: Redshift, Python, Sagemaker, Jenkins, MLFlow, Great Expectations.- Outcome: 1. model that enables 100% uplift in % of.

Barcelona, Catalonia, Spain

SQL, R, and Python-based decision science and ML modeling for international online entertainment company. Focus on billing, marketing and product data, with crossfunctional collaboration.Main achievements:- Development of ML-based new LTV prediction model and preparation of deployment into production. Reduction of up to 75% error in several geographical.

Reus Area, Spain

- Continuation of work done with WhatAbout Technologies (company absorption).- Implementation of NLP-based solutions, familiarization with SaaS and API-based solutions.

Tarragona, España

- PhD in an electrical engineering research group combining bioscience and applied machine learning (supervised and unsupervised) to improve the quality of metabolomics data.- Data analysis (EDA, hypothesis testing, reporting) of own and other research groups studies.- Data extraction, cleaning, and wrangling of public databases.- Internship at EMBL-EBI.

Tarragona, España

Design of dashboards for customers. Assistant manager in projects (with direct interaction with customers). Participation in data science projects to develop novel knowledge with high ROI for e.g. healthcare and retail clients. Examples of projects:- Prediction of mortality and length of stay of patients in an intensive care unit.- Anomaly detection.

Development and pilot testing of further experiments, learning of techniques in the area.

Reading of papers, database management, aid in projects.

Doctor Of Philosophy - Phd, Electrical Engineering

Machine Learning applied to signal processing of -omics data. Excellent with cum laude. 2 first author articles and 2 others in peer.

Máster De Neurociencias

Biotecnología