Anna Samuelsson

Data Scientist

Mölndal, Sweden

Summary

I am a data scientist with educational foundation in mathematics, statistics and programming. In selection, my working experience covers business intelligence, machine learning, big data analysis, database operations and front end development in teams as well as in self-driven projects. I appreciate driving and developing a project from idea to automation and communicating solutions and findings to stakeholders with various technical background.

Languages:

English, French, Swedish

Favorite Python Packages:

pandas, numpy, scikit-learn, gensim, lightgbm, xgboost, beautifulsoup, keras, plotly

Experience

Experience from innovation and stakeholder discussions to automation and maintenance. Creative and business minded. Projects in selection:

• Financial anomaly detection: implemented at a large industrial company and used by controllers when reporting monthly accounts, to detect and correct erroneous reporting. Based on time series forecasting (CNN, SARIMA and Facebook Prophet) and visualized in Power BI.
• Advanced text analysis: implemented at clothing retail company. Sentiment analysis, contextual synonym detection and topic modelling of customer surveys and product comments.
• Web scraping: within various business areas. Automatic web scraping of prices and comments.
• Image recognition: neural network for recognizing roads, water and buildings in aerial images.
• CHURN prediction: implemented at energy company to keep customers and increase their lifetime value. Based on decision tree classification algorithms.
• Direct marketing optimization: increased profit from direct marketing by optimization of target customers. Implemented at clothing retail company. Based on decision tree classification.

Skills

Artificial Intelligence, Backend Development, Big Data, Data Science, DevOps, Git, Keras, Machine Learning, Matplotlib, Natural Language Processing, NumPy, Pandas, PyTorch, SQL, SQLAlchemy, SciPy, TensorFlow, Test-Driven Development, Visualization, Web Scraping