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(Uppdaterat 2020-02-25)Senior Data Scientist
Skåne län, Sweden
Modersmål Spanish, Flytande Svenska, English
- Python
- Qlikview, Qlik Sense
- Google Analytics, Big Query, AWS
Kompetenser (23)
Python
COLLECTION
Excel
DATA COLLECTION
SCRIPTING
VISUALIZATION
MS EXCEL
EXPLORATION
DATA MINING
DATA SOURCES
TELEMETRY
ETL
PACKAGING
KERAS
TENSORFLOW
NEURAL NETWORKS
NEURAL
BUDGET
Cassandra
BUDGETING
JavaScript
PRODUCT DEVELOPMENT
HR
Sammanfattning
I am a mathematician expert in analyzing systems, finding patterns, puzzling out ways to predict behavior, discover insights and presenting them.
I have a broad experience at all the angles of a data scientist, from the
collection, storing and exploration, through the transformation and aggregation, up to learning, optimization and visualization that lead to insights.
Personally, I'm very analytical and creative, as well as flexible and always
happy to share knowledge and learn new technologies.
Professionell bakgrund
2018-07 - Pågående
experience. My main purpose is to explore into foreign areas of the bank and applying them into banking -taking advantage of cloud
technologies provided by AWS including artificial neural networks
developed, trained and tested in cloud, using for example sagemaker and AWS-lambda functions. As a result of this work we have found
ways to automate operation processes as well as improve the user
experience.
2017-02 - 2018-07
definitions, visualization extensions (javascript development), data
veracity as well as evaluation and improvement of existing BI solutions.
I have had the honor to work for Ikea Communications, Ikea Industry,
Skånemejerier, Lactalis, Egmont, Cloetta, Hemocue, Tvins, ÅR
Packaging, Kraftringen among others.
2016-01 - 2017-02
1. The analysis of the data sources with the purpose of the design and implementation of easier ways of managing the big data and the cleaning, exploration and transformation of the data.
2. Analysis of the data, defining metrics, segments and aggregation for
data mining. And the creation of fact-based reports and monitoring
tools.
3. Building prediction models about quality failures and business
development. As well as the presentations and visualizations to communicate all these insights to development, quality and senior
management.
4. Feedback and requirements for the back-end for improvement of telemetry and data collection of the existing systems.
This ongoing, cyclic job, of bringing the data to a meaningful insight
produced successful predictive tools that were used for budgeting
services and planning for part replacements. I also developed the first
metric dashboard for both product development and services in Verisure.
2015-04 - 2016-01
experience of a data scientist when using the Qlik products. I joined the Quality Analyst team and gave feedback and insights from the data
scientist view-point.
I was also part of the research team, being active during brainstorming and contributing with innovative ideas. This work resulted in several
features of the software and a patent.
2009-10 - 2015-04
One of my main responsibilities was understanding the Software KPI's.
We analyzed the behavior of the samples and improved old ways of measuring system stability and quality. We based our results on
mathematical models inspired by historical data but adapted to the changing needs. At the same time, we developed visualization tools to present and compare all the existing KPIs. This was used for reporting and analysis for Quality Analysts, Project Manager and Senior
Management.
I also participated in the project about learning and competence in collaboration with HR. We organized workshops to identify learning
needs and map them to budget the proper educational tools.
Akademisk bakgrund
2000-07 - 2005-06