Position: Data Scientist
Category: Data Science
English level: pre
Years of experience: 1

1. Programming languages: Python, SQL
2. Data manipulation and analysis: Pandas, NumPy
3. Machine learning frameworks and libraries: Scikit-learn, TensorFlow, XGBoost
4. Data Mining and Exploration: Experience with exploratory data analysis techniques, feature selection, and dimensionality reduction methods.
5. Statistical analysis: Regression analysis, time series analysis
6. Data visualization: Matplotlib, Seaborn
7. Data Extraction and Transformation: Knowledge of data extraction techniques from various sources, and web scraping. Familiarity with tools like BeautifulSoup
Conducted exploratory data analysis (EDA) on data collected from Wiliot's battery-free Bluetooth tags to identify patterns, correlations, and anomalies.
Assisted in the development and implementation of machine learning models to extract insights and improve product performance.
Engaged in feature engineering, transforming raw sensor data into meaningful variables to enhance model accuracy and predictive capabilities. 
Used Postman for API testing.