Role: Data Scientist\Machine Learning Engineer\Data analyst

Experience: 2+ years
Format: remote\hybrid
Location: Currently in Kazakhstan
Languages: Russian\English\Kazakh (C1 level)


Summary: Data Scientist with experience in applying machine learning (ML) algorithms in banking and consulting. Worked on fraud detection and behavioral analytics projects.

Stack:
Python frameworks: Flask\Dash
Big Data frameworks: PySpark
Machine Learning: scikit-learn, NLTK, pymorphy, xgb, catboost
Data processing: Pandas, NumPy
SQL Databases: MS SQL
BI: Power BI
RPA: Blueprism
Skills:
Python, Flask, Network Analysis (networkx), Fraud Detection (anomaly detection), Data Science, Machine Learning, SQL, scikit-learn, XGBoost, Catboost, PySpark, recommender systems , Git
Contacts: [email protected] telegram: @niyzora
#cv #datascience #data #ml #ds #analyst