Position: Data Scientist | ML Engineer | Data analyst
Category: Data Science
English level: fluent
Years of experience: 3


Data Scientist with experience in various fields. Worked on fraud detection, behavioral analytics projects and other ML related projects.

Last projects: Text classification using BERT, HR analytics (employee churn prediction), building DWH & BI system for the largest electricity grid operating company in the country (leading BI stream)
**SKILLS:**
Python frameworks: Flask\Dash
Cloud: AWS (Sagemaker), Azure
Deep Learning: Pytorch, Keras
Big Data frameworks: PySpark
Machine Learning: scikit-learn, NLTK, pymorphy
Data processing: Pandas, NumPy
SQL Databases: MS SQL, MySQL, ClickHouse
BI: Power BI, Apache Superset
RPA: Blueprism
Skills:
NLP, Compute Vision, Git, Python, Flask, Network Analysis (networkx), Fraud Detection (anomaly detection), Data Science, Machine Learning, SQL, Jupyter Notebook, scikit-learn, PySpark, recommender engines

**Highlights:**
- Data Scientist with experience and skills in predictive analytics, Deep Learning, BI tools
- Experience of managing a team
- Background in Applied Mathematics
- FinTech, EdTech, TravelTech, Consulting experiences
Looking for:
- Interesting projects 
- Salary in solid currency (preferably USD\GBP\EUR)
- Career progression