Sergio Sánchez
Data Engineer
Master’s Degree in Statistics and Operational Research
Universitat Politècnica de Catalunya
2017
to 2019
Statistics and Operational Research - Specification in Data Science.
Master’s Thesis - Customer Churn with Deep Learning.
Master’s Thesis - Customer Churn with Deep Learning.
Final Degree Project - Economía Experimental - Mention with Honors.
Experiences
Data Scientist/Engineer
TangeloGames Corp.
Since July 2020
Barcelona
Spain
- Develop and maintain the different predictive models of the company.
- Design pipelines for forecast/predictive models.
- Create new pipelines based on events data.
- Maintain existent pipelines and improve performance for legacy code.
- Support infrastructure when needed.
Data Analyst
Vueling S.A.
March 2019
to July 2020
Barcelona
Spain
- Design and implementation of ETLs in pure python.
- Implementation of processes for data integrity and reliability.
- Design of data workflows for Rostering optimizations.
Deep Learning Developer
Datancia S.L.
May 2018
to December 2018
Barcelona
Spain
- Development of Deep Learning models based on LSTM Recurrent Neural Networks.
- Development of process for Hyper-Optimization in LSTM based on Bayesian Statistics.
- Implementation of a tracking model for customer churns based on LSTM.
Conferences and events
2018 -
Conferencia Cyberseguridad Navaja Negra
- Machine Learning, el nuevo Jedi de la seguridad informática
(Speaker)
Small introduction as how ML can be applied in cybersecurity.
Skills
Statistics and Machine Learning
- Knowledge of Deep Learning based models (specially RNN).
- Knowledge Machine/Statistical Learning based models.
- Deep knowledge on basic and advanced statistical techniques.
- Knowledge on Bayesian Statistics techniques.
- Deep knowledge on Data Visualization techniques.
- Wide formation in classic statistics.
Data Engineering Stack
- Deep Knowledge on most wide used techniques for classic ETL.
-
Knowledge most modern stack such as protocol buffers and event based data.
Google Protobuffers
-
Wide experience in administration and usage of rela- tional database, cloud and on-premise.
Redshift, MySql
-
Knowledge on usage of no relational database.
Dynamo, MongoDB
-
Knowledge on usage of storage systems and filesystems, cloud and OS related.
S3, linux filesystems etc
- Detailed Knowledge on usage and administration of Apache Airflow
-
Wide experience in most (and not so used) AWS services.
Redshift, spectrum, kinesis, lambdas, S3, EC2 etc.
Languages And Software
- Python
- R (statistics programming)
-
SQL
(specially dialects based on PostgteSql)
- Basic on C and C++
- Basic on golang
-
Deep knowledge on UNIX based systems
Specially linux distros based on Arch.
- Command Line Interface
- Bash
- AWS
-
Git
GitHub workflows too
- Docker
- Jenkins
-
Vim
Preferred editor for coding/editing files.
Professional Skills
- Analytic mind
- Responsable
- Rapid Prototyping
- Agile Methodologies
- Communicative
Languages
-
Spanish
Expert
-
English
Advanced
-
Catalan
Intermediate
