Position: Data scientist
Category: Python
English level: fluent
Years of experience: 3

• Machine learning algorithms: Logistic Regression, XGBoost, Neural Nets, SVM etc.
• Regression and correlation analysis, parametric and non-parametric hypothesis tests (t-test, ANOVA, Tukey, Chi-square, Kruskal-Wallis, Wilcoxon tests etc).
• R, Python, SQL, HiveQL, PySpark, Cypher.
• Relational databases, MongoDB, neo4j, Spark, Hive.
• Cleaning, munging, combining, normalizing, reshaping, slicing and transforming data for analysis.
• Experience in controlling, marketing, logistics and sales departments / brick-and-mortar re-tailer and internet project.
• Communication with different users: from assistants to board of directors.
R,  Python,  SQL,  NoSql, hive, spark, statistics,  probability, machine learning, data preparation
big data technologies