Karen Baca is a Data Analyst at Volvo Cars. She is proficient in Swedish and English. Colleagues describe her as "If you are looking for a complete package of a brilliant engineer, a creative thinker, an energetic team player, plus a kind and positive colleague, Karen is definitely someone you would want to join your team. I have known and worked with Karen for one year, and the more I know her, the more I am surprised with how talented she is in what she does. She is a curious learner who can learn many things by herself in a relatively short time. Moreover, she is a go-getter who is always open to challenges and can always manage to finish the given task professionally, and responsibly. Finally, she is someone who can always bring joy and smile to the team with her warm smile and fun attitude."
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Data AnalystVolvo CarsGothenburg, Se
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Data AnalystVolvo Cars Sep 2023 - PresentGothenburg, Västra Götaland County, SwedenPart of the the Data Collection System group, which is responsible for developing and operating Volvo Cars’ solution to collect vehicle data over the air. -
Global Graduate In Data ScienceVolvo Cars Aug 2021 - Jul 2024Torslanda, Vastra Gotaland County, Sweden24-month career-boosting programme designed around your potential as a future leader in a global organisation. The programme includes senior mentorship, developed business understanding, personal-development trainings, go out and see activities as well as common graduate projects.
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Data Analyst - Consumer Insights And AnalyticsVolvo Cars Feb 2023 - Apr 2023Göteborg, Vastra Gotaland County, Sweden- Design of a new survey program for measuring consumer-facing employee satisfaction. - Correlation analysis between consumer overall satisfaction metric and number of retailer’s car deliveries (throughput) in UK.- Analysis open-text field comments on Car Service survey program, including sentiment and topic analysis.
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Data Scientist - Open Innovation ArenaVolvo Cars Aug 2022 - Mar 2023Göteborg, Vastra Gotaland County, SwedenGraph data model design for the analysis of traffic accidents in Neo4j. Data sources include weather, friction, road infrastructure and historical accidents. Results were presented in the next events:- Volvo Cars Graph Day 2023- Neo4j Graph Summit Stockholm 2023- Boeing Knowledge Systems and Graph Technology Symposium 2023
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SecretaryAsociación Mexicana De Gotemburgo Feb 2022 - Mar 2023Göteborg, Vastra Gotaland County, Sweden -
Data Scientist - Advanced Analytics And AiVolvo Cars Jan 2022 - Feb 2022Göteborg, Vastra Gotaland County, SwedenExploration and implementation of evaluation metrics for car sales forecasting. Predictions are evaluated based on different car variants organized on a hierarchical structure. Example of levels include car model, trim and model year.
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Data Scientist - Vehicle Data DiagnosticsVolvo Cars Sep 2021 - Jan 2022Göteborg, Vastra Gotaland County, SwedenAnalysis of ranking values (health status of software functions) obtained from vehicles in aftermarket. The exploration included:- Correlation of ranking values with fault tracing codes (DTCs).- Distance until DTC prediction based on ranking values.
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Data Science Research EngineerChalmers University Of Technology Jul 2019 - Jun 2021Gothenburg, Västra Götaland County, SwedenI was involved in the next projects: - Collaboration with the Genie Project on analyzing employee data to determine what factors are causally related to different obstacles in a faculty career such as promotion and turnover.- Analysis and classification of electrical brain activity to study Phantom Limb Pain using time series and image based feature extraction methods.- Collaboration with Sahlgrenska University Hospital in the analysis of COVID-19 patient data such as time series clustering and forecasting. -
Master Thesis In MathematicsVolvo Cars Jan 2019 - Jun 2019Gothenburg, SwedenTopic: Discovering Patterns using Driving DataDriver power demand is a factor that depends on maneuving features and environmental features. In hybrid vehicles, the propulsive power is generated by the electric motor and the combustion engine. Since the two power sources are better suited for different traffic situations, identification of the current driving scenario would be beneficial in the vehicle design with respect to power efficiency. The aim of the master thesis is to investigate Machine Learning methods to perform this task. After the pattern recognition, a predictive model of the power driving demand will be constructed.
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International Student AmbassadorChalmers Tekniska Högskola Apr 2018 - Jan 2019As part of the international team, one must have an excelent communication skills and networking to perform personal and long distance contact with prospective students. Some of the performed activities in this role are: - Build a relationship with prospective students by different channels. - Participation in recruitment events and activities abroad.- Campus and city tours with prospective students and visitors. - Content production for social media and other marketing channels.
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Assistant ResearchThe Wind Energy Group, Itesm May 2017 - Jul 2017Monterrey Y Alrededores, MéxicoValidation of a computational model of classical modal analysis. Some of the carried out activities were computer modelling and simulation in Matlab of the experimental results.
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Assistant ResearchTecnológico De Monterrey Jan 2017 - May 2017Monterrey Y Alrededores, MéxicoAnalysis of high resolution photos from an experimental set of stirred tank biorrector injected with air. My work consisted in the measurement and characterization of bubbles in high quality photos to correlate them with the oxygen transfer coefficient using image analysis. -
Laboratory InternCorning Optical Communications Jul 2016 - Dec 2016ReynosaDevelopment of a method to identify high quality connectors based on its Back Reflection performance and geometry parameters of the end face fiber optics. Based on statistical results, parameters ranges were identified as significant for the classification of connectors. -
Teacher AssistantTecnológico De Monterrey Jul 2015 - Dec 2015Av Eugenio Garza Sada 2501 Sur, Tecnológico, 64849 Monterrey, N.L., MéxicoDevelopment of online learning material, supervision of the students and instructional aide of the course of Physics I (classical mechanics).
Karen Baca Education Details
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Mathematics And Computer Science
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Engineering Mathematics
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B.S. Engineering Physics
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CourseraData Science
Frequently Asked Questions about Karen Baca
What company does Karen Baca work for?
Karen Baca works for Volvo Cars
What is Karen Baca's role at the current company?
Karen Baca's current role is Data Analyst.
What schools did Karen Baca attend?
Karen Baca attended Chalmers University Of Technology, Chalmers Tekniska Högskola, Tecnológico De Monterrey, Coursera.
Who are Karen Baca's colleagues?
Karen Baca's colleagues are Tate Calvert, George Saltmer, Christopher Kavanagh, Louis Hilton Jones, Dominic Kinnersley, Iain Howat, George Dodd.
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Karen Baca
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2miners.utep.edu, epelectric.com
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