Mikhail Shabalin Email & Phone Number

Moscow

MTS Bank is a dynamic, digital-first bank backed by Russia’s largest mobile operator MTS.TOP-5 of consumer finance market- Lead cross-functional team of analyst, DS, external and internal IT to explore and deliver the best solution. - Implement external data sources into the approval process to improve performance of scoring models and better personalization of credit products. Explore external data sources: market research, test and select best ones. Growth GINI by 2-4 percentage points. - Created credit risk scorecards(10+) used advanced machine learning algorithms xgboost, neural network. Growth GINI by 2 percentage points with market leading loan approval rates- Created Collection ML models(10+) and found optimal actions going to maximisation payments value. Growth CureRate +7%- Reduce time-to-market of ML model delivery by 50% with launching MLOps practices developmentStack: Python, Hadoop, Spark, Oracle, Rest Api, Git, MLflow, DVC, Minio, Nexus

Kazakhstan

Home Credit Kazahstan TOP-5 of consumer finance market. Home Credit Group is a leading multi-channel provider of consumer finance.Goals- Generated additional income by developing and implementing new processes. Boosting Xsell sales volumes by 12%. - Revised and re-engineered existing processes- Supervised the team (15+ )Data Science Team:- Recruited & developed specialists- Established goals & monitored workflow- Improving CRM processes by model's implementing - Improving work with the base implement customer segments- Implemented models in HR, Sales, Fin divisions of the bank- Identified & upgraded business needs in the application of models- Formalized the requirements, translation into the language of metrics, goalsProduct management. Product owner the marketplace of goods on credit in the mobile application. Result:New sales channel +5% XSales volume.- Initiated and led the project from idea to implementation - Provided market research, hypothesis testing, strategic direction selection- Created business requirements, selected suppliers, set tasks, and KPI's for a contractor.- Building up a team, specified responsibilities, constructed a sales pipeline, controlled of a sales funnel- Negotiated with partners: suppliers of goods and services, involvement in the marketplaceProduct Owner: Agile team (business + IT 12 people)Product owner Voice2Text: - Inspected & identified business needs - Formalized & classified business requirements to provide relevant further actions and market research- Summarized requirements and arranged tenders- Monitored deadlinesMonetization of internal data:- Brainstormed ideas for data use- Invented connections for new data sources- Launched the trigger processes for working with the databaseConnecting external data:- Market research \ real impact - Established models on the side of the contractor- Supported piloting, models transferring for routine operations

Moscow

1. Invent and implement predictive modeling in the CRM (from the very beginning)2. Develop and implement Data Mart for modeling client behavior (Credit / Debit Card, Cash Loan). Testing, fixing the problems and successful introduction Data Mart in the production.3 Create the X-sell Propensity to Buy models (Cash, Credit Card). Look - Like model (Debit Card). Churn model (Credit Card).4. Evaluate and take a decision of the necessity using the external date. Yandex, Mail, Qiwi, Facetz, MFMS. Analyze the effectiveness of using external data sources.5 Monitor and Optimization of communication channels TLM Outbound, SMS.6. Arrange and fix the test projects. Implementing the success one in the work process.Participation in competitions:1) Prediction of customer turnover next monthon card transactions. 1 place. Organized by Microsoft.2) Determination of the probability of non-repayment of a loan. 23 place(of 300 people). Organized by SASCOMPETITIONS.Tools: Python, SAS EM, Oracle PL / SQL

Moscow, Russia

1. Operational management of the department. Setting tasks and monitoring the timing and results of an execution (3 people insubordination).2. Сlients Cash Loan Xsell portfolio analysis.2.1 Develop and support of daily operational reporting Cash Xsell: application dynamics, sales structure (ScoreSet, channels), Response, Conversion.The efficiency of communication channels.2.2 Analysis of ongoing campaigns. Funnel sales (Conversion, Response, TakeUp rate, AFA, etc.)3. Participate in the development of new products and services.4. Ad-Hoc report: setting tasks and monitoring the implementation5. Statement of tasks for the IT department. Execution control and acceptance testing.6. Realize an assessment for the selection of students. Training and mentoring6.1 Preparation of tests for selection6.2 Primary SQL Learning

- Designing, constructing and managing Data Warehouse (Oracle Database);- Developing ETL procedures in Oracle PL/SQL. Increasing reliability and performance ETL. Oracle SQL performance optimization;- Support and development of periodical company reports in Oracle Apex- Constructing and managing Data Marts for Finance and Marketing department- Constructing P&L data Mart for Finance department with detailing to client- Customer segmentation (Oracle Data Mining)- Campaign analysis- Building a statistical model for Churn Prediction, Cross-sell, Up-sell- Strong knowledge of MS Office, VBA

Education record

Education record