Position: Data Scientist/Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 5


Data Engineer/Data Modeller/Data Scientist(healthcare domain) 03/2022 - present
- Data Modeling;
- Looker refactoring;
- Communication with stakeholders;
- Data Science tasks(e.g. classification, topic modeling);
- Documentation maintenance;
- Hands-on technology stack: AWS, Snowflake, Looker, dbt, Snowshu, AWS SageMaker, Great Expectations, Confluence, Jira, Bitbucket, DBeaver, Docker, Python(pandas, numpy, sklearn, nltk,TensorFlow/Keras, PyTorch,XGBoost, seaborn/matplotlib and etc.), SQL, Anaconda.

Data Analyst(financial domain) 09/2020 - 03/2022
- Analysis of Macroeconomic data across the globe;
- Provide Data/Customer support using ITIL framework;
- Researching data, insights on the internet;
- Communication with Customer/Data providers on their/our needs as a service provider;
- Data Engineering;
- Extra mile: successfully passed internal Data Science Mentoring program and able to do: EDA, Hypothesis Testing, Regression/Classification tasks, Clustering, Anomaly Detection, NLP(text), Time Series Forecasting, NN and CV, NN and NLP(text)
- Hands-on technology stack: AWS, ServiceNow, Confluence, Jira, Swagger, Rundeck, Hbase, Postman, Kibana, Python(bs4, selenium,pandas, numpy, sklearn, nltk,TensorFlow/Keras, PyTorch,XGBoost, seaborn/matplotlib and etc.), SQL, Azure ML;