Position: Head of Data Science
Category: Data Science
English level: intermediate
Years of experience: 11

+ Developed a Promo Score model that decreased marketing costs by 80% of sending SMS to our customers, while the percentage of lost customers was only 0.4%. 
+ Developed a Churn model that decrease the total quantity of churn clients on 5% per month.
+ Reduced money costs up to 20% for SMM advertising through the introduction of customer clustering.  
+ Reduced marketing costs on TV advertising up to 10% per year by implementing econometric model.
+ 17 peer-reviewed articles in national and international scientific journals.
+ Awards:
   * Verkhovna Rada of Ukraine ("For the most talented young scientists in the field of fundamental and applied research and technical development" - 2012);
   * Grant from The President of Ukraine ("For the approximation of periodic functions of many variables").
Motivated business leader with 15 years experience in business and data analysis.
- PhD in Math, deep background in mathematics and statistics.
- Lead a team of the three Data Scientists.
- Deep understanding in supervised and unsupervised learning.
- Deep understanding of machine learning techniques and algorithms: Hierarchic cluster analysis, K-means, testing statistical hypotheses, Linear and Logistic regressions, exponential smoothing, k-Nearest Neighbors (kNN), SVM, Decision trees, Random Forests, XGBoost, LightGBM, Catboost, Feature Selection, Dimensionality Reduction, Neural Networks and others.
- Deep understanding of Deep Learning techniques (NLP, Computer Vision) and tools (Tensorflow, Keras).
- Programming skills: Python; familiar with R, SQL; basic knowledge: Hadoop, HDFS, Yarn, Hive, Kafka, Spark.
- Data visualization tools: Matplotlib, Seaborn, Plotly, qqplot, Shap, etc.  
- BI-tools: Power BI, QlikView.
- Familiar with GCP (Composer, Dataflow, Dataproc, BigQuery, etc).
- Excel (excellent knowledge), Word, Power Point, Outlook.