About Me
My name is Xiaoxue Wang, a Data Scientist with a strong software development background, specializing in advanced analytics, machine learning, and building scalable data solutions.
My education is Masters in Communication Engineering from Gothenburg, Sweden, and Bachelors in Electrical Engineer from Beijing, China. I have an international background and working experience, and am a proven team-player with strong communication and interpersonal skills. Always motivated and enjoys challenges, and likes to try out new roles and responsibilities.Welcome to my site and feel free to reach out!
- Nationality Swedish
- Residence Stockholm, Sweden
- Education M.Sc. in Eng.
- Occupation Data Scientist
Fun Facts and Volunteer Experience
Certified abacus operator
Yellow-belt holder in Taekwon-Do
Planted 100+ trees in desert
Math teacher for orphans kids
Experience
2022.01 - Present
Data Scientist
VetFamily Holding AB, Stockholm, Sweden
- - Designed and implemented end-to-end machine learning pipelines using Azure Machine Learning
- - Developed custom NLP (Natural Language Processing) algorithms to extract meaningful features from product names and enhance classification accuracy
- - Architect and maintain the company's data warehouse on Azure; develop automated ETL processes to streamline data integration and improve data quality
- - Designed and developed interactive dashboards and reports using Power BI; integrated data from multiple sources, including CRM systems, ERP databases, and external data sources, to provide a holistic view of sales performance and customer behavior
2017.08 - 2021.12
Software Developer and Scrum Master
Business Area Networks - Ericsson AB, Stockholm, Sweden
- - Proposed and designed an early-phase study project that uses Machine Learning techniques (text classification and tree-based classifiers) to reduce the return for maintenance rate of radio products
- - Investigated and designed Machine Learning solutions (tree-based models and linear models) to replace manually created and maintained radio products' property parameters with 5% average performance gain
- - Designed modularization and componentization solutions for the Radio software application
- - Solve products trouble reports. Activities includes analyzing information using critical and creative thinking, debugging and understanding error logs, and implement fixes
- - Ensure positive progress and deliveries of my team, coordinate with stakeholders, and enforce Lean and Agile way of working as a Scrum master for a radio software development team
2016.11 - 2017.08
VoIP Engineer
Sinch AB, Stockholm, Sweden
- - Configured back-end system and maintained the stability of a mobile communication platform
- - Analyzed and visualized real-time traffic quality data using Kibana and Grafana
2016.03 - 2016.08
Master of Science Thesis
EURECOM Institute, Sophia Antipolis, France
- - Implemented a data analysis service (C/C++/Python) at the edge of the mobile network to analysis massive volumes of data streams from sensory sources
- - Involved several Machine Learning algorithms (ANN and SVM), combining with Software-Defined Networking and Mobile-Edge Computing concepts, into the proposed service and applied it to real-world use cases
- - Evaluated and tested the performance of the proposed real-time edge service using a LTE/LTE-A system-level emulation platform
Education
Graduated 2016
Masters of Science in Communications Engineering
Chalmers University of Technology - Gothenburg, Sweden
Focus: Communications Systems. Probability and Statistics. Analog and Digital Communications. Image Analysis.
Graduated 2016
ERASMUS Exchange
Institute of Eurecom - Sophia Antipolis, France
Focus: Machine Learning. Network Modeling. Software/Application Development. Leadership. Management.
Graduated 2014
Bachelor of Engineering in Electrical Engineering
China Agricultural University - Beijing, China
Focus: Programming. Circuits. Systems. Physics. Calculus. Communications. Sensors.