SUMMARY OF QUALIFICATIONS:Management:• Managing and controlling main KPIs of AI Transformation• Designing, developing and implementing AI Solution for business clients • Creating and improving products based on developed AI solution• Estimating financial and business result of implemented AI solutions• Monitoring and supporting functionality of implemented AI solutions• Managing the Data Science team (max 17 members: DA, DE, DS, MLE):• Understanding business needs• Estimation of possibility of AI solution development and implementation• Tasks definition for data scientists• Setting deadlines and quality control• Coaching and skills development of team members• Coordination cross department activities – linking business owners, analysts, developers, engineers• Cooperation with third-party audit and validation departmentsDevelopment: • Seven years of programming experience – SAS (data step, proc sql, Macro, ods, pass-through), Python (numpy, pandas, scipy, matplotlib, sklearn, pymorphy2, xgboost), Unix command line• Working with Big Data, understanding Hadoop technology, experience with using Hive• Building various models (regression, decision tree ensembles, recommender system, text mining models) that enhance business processes, maintaining implemented models• Testing new data sources, including open data sources such as social networks data to improve quality of current models• Preparing formatted data sets for predictive modeling, providing technical and quantitative analysis for predictive modeling• Building datasets from third-party DBMS (Oracle, TERADATA, Hadoop, MS Excel, .csv), developing custom scripts, templates and utilities for data cleaning, reporting and analysis• Designing data warehouses / data marts, ETL development, job deployment for scheduling in different environments – Python, SAS, Teradata, Hadoop. Maintaining of logging• Writing and editing documentation of finished projects