Development of a healthcare chatbot aimed at providing personalized information on managing specific illnesses. Stack of technologies: ChatGPT API, Google Cloud Platform (GCP), Vertex AI, Pinecone DB, LangChain

Stack of technologies: Python (XGBoost, ARIMA), Azure ML, Azure DB

- Project: Antifraud model for mobile banking- Project: User engagement- Project: Churn prevention- Project: Chat-bot Tech support adviser (NLP based solution)Stack of technologies:Python, C#, Java, AWS (S3, RDS, Comprehend, QuickSight, Athena, EMR...), Spark ML (Java)

As data analyst I develop from scratch: DWH scheme, system of reporting, A/B testing, collect data from different source, user behavior analysis. - Project: mobile app in "health and care"- Project: prediction of viral content in social media (regression, trend detection, k-means, arima)Stack of technologies: Python (TensorFlow, Keras), R, Tableau. Sql: redshift, vertica, mysql . GA, appsflyer, Apple store api

As a part of "Data discovery team" I took a part in data R&D, looking for insights which may reduce fraud, chargeback rate, increase profit.Stack of technologies:- R (devtools, networkD3, sqldf, ggplot, e1071...) - Python (scikit-learn, Pandas, NumPy...)- SQL (Vertica)- Tableau

- development of DWH for international e-commerce projects- building and support OLAP Cube based on PostgreSQL- development integrated universal reporting system for several e-commerce projects- development and implementation project management for customer, finance, and resource management- analysis of response and results of CRM-campaigns, construction of analytical models using the statistical package R- project management (planning and scheduling team's work, supervision), ensuring communication with other units

- analysis of competitive environment. Analysis of new markets, potential areas of business development.- building a Business Case for products which have no analogues in Ukraine. Building financial models.- business planning, strategic planning of holding a set of different businesses.- implementation and monitoring of KPI for management products. Monitoring performance of scheduled of indications sales, creation example execution plans.- calculation of actual / planned return / yield products in the sections sales channels, customer segments ...- working with large data sets.- automate periodic reporting.- writing analytical reports..

- application/behavioural/attrition scorecards development and implementation- working on the project of building CRM DATA Mart based on Oracle- segmentation and differentiation customer base- develop the direct campaigns; preparation of target and control samples CRM campaigns for clients- construction of periodic reports and post analysis of campaigns, preparing presentations, providing expert evaluations- identify weaknesses in internal processes of the bank, which has a negative impact on customer service. Modernization / revision / change processes to increase efficiency and improve the overall performance of different departments

- dealing with large amounts of data using next systems: ABS B2, BP Retail, IS Card, Oracle;- consolidation of data from different banking systems, customer base segmentation, forecasting portfolio of retail business;- analysis, modeling, planning business - processes;- development and support of monitoring and reporting to the Department;- business case checking(updating main financial indicators);to form and prepare target and control groups for special CRM activities.