Nick Tiden

Serving as the Chief Data Scientist and Data Officer for the Sales Networks Unit, reporting directly to the board as head of the division. Overseeing a team of 150+ employees, including data scientists, engineers, analytics and developers. Responsible for all aspects of data management, including P&L from AI solutions and innovations within the Sales Networks block. Leading the D-people community, managing a Telegram channel, and driving AI PR activities. Accomplishments as CDS: • Achieved a remarkable 15%+ increase in unit revenue, equivalent to $300 million USD, through AI initiatives, marking a 35-fold rise since 2020. • Successfully implemented large language models (Sberbank & LLAMA3) as copilots for employees in physical branches, enhancing customer service and operational efficiency. • Spearheaded the development of a Computer Vision pilot platform for testing business hypotheses using videos from branches. Accomplishments as CDO: • Streamlined functions through centralization within matrix principles, resulting in a twofold increase in data marts production effectiveness. • Orchestrated the migration from proprietary (Teradata) to open-source (PostgreSQL) Data Warehousing (DWH), resulting in a reduction of operational expenses by $1.5 million USD. • Implemented a comprehensive data quality process, ensuring 100% accuracy for critical elements. • Pioneered the creation of video and audio DWH from scratch, optimizing data accessibility and utilization.

Managed a team of up to 65 employees, primarily consisting of data scientists and engineers. Led the charge in achieving the financial impact of AI and AI transformation within the retail bank. Accomplishments: • Contributed to generating 5% of the retail bank's revenue through AI initiatives. • Received global finance awards in 2020 for outstanding achievements in mobile app and ATM AI personalizations. • Pioneered the adoption of Agile principles in forming analytics teams for data science and analytics projects, while also devising strategies for competency growth. • Successfully executed the migration of the data science infrastructure from SAS to a Python-based proprietary framework (model factory) in 2019, resulting in a reduction of Time-to-Model (T2M) from 30 to 1 day. • Established a seamless development, implementation, and monitoring cycle for over 200 data science projects. • Developed and implemented more than 50% of AI models used by Sberbank within my cluster in 2020.

Led and established a modeling group from inception within the X-Sell department. In 2017, managed a team of 25 data scientists, overseeing their work and contributions. Key Achievements: • Pioneered the development and successful operation of the X-Sell factory, leveraging AI models. • Produced over 30 distinct models for X-Sell across various communication channels: SMS, Push, Email, and TM. • Significantly elevated X-Sell value by a factor of 10 and tripled the growth of the card portfolio through effective model implementation. • Extended expertise to other business sectors, creating and implementing more than 20 models for HR, Corporate Business, and Anti-Fraud purposes. • Pioneered the introduction of SAS modeling and marketing optimization infrastructure based on Hadoop in Russia. • Successful implementation of customer interview processes and X-validation procedures.