Aleksandra Subbotina

Contributed to the development of an AI-powered phone app that detects scam calls in real-time. Initially managed financial aspects and now involved in various non-technical tasks.

Analyzed market trends and supported the prototyping of new analytics and forecasting solutions for revenue management teams using SAS. Documented business requirements and created project documentation.

Led the definition and prioritization of product features for voice recognition and conversational AI solutions. Conducted case analyses to enhance product offerings and user experiences.

Led the development of an analytical system for public institutions' IT transformation, defining functional requirements and collaborating with clients to deliver tailored BI solutions.

Performed data analysis, forecasting, and quantitative modeling using SAS and SPSS. Managed ETL processes and data visualization for the data platform.

Conducted sales data analysis and optimized procurement strategies. Managed daily supply planning and KPIs, achieving a reduction in logistic costs.

Completed a course in Python Basics, enhancing programming skills for data analysis and automation.

Studied Wealth Management and Investment Management, gaining insights into financial markets and investment strategies.

Completed courses in Applied Analytics Using SAS Enterprise Miner and an Advanced Course, focusing on data analytics and business intelligence.

Completed a Master's degree in Econometrics and Quantitative Analysis, focusing on statistical methods and economic modeling.