Elena Menshikova is an international data and analytics professional with a Master’s degree in Data Science and experience spanning digital banking, financial services, healthcare, and IT consulting. Having served as a Data Consulting Manager at KPMG Uzbekistan and a Lead Data Analyst at TBC UZ, she brings a combination of technical expertise, analytical thinking, and business-focused insight to the evolving field of data science.

Elena specializes in transforming complex enterprise data into actionable insights that support strategic decision-making and operational value. Her expertise includes advanced data analysis, data visualization, machine learning, and AI solutions, with a focus on connecting technical capabilities to practical business needs.

Throughout her career, Elena has led cross-functional teams in developing scalable analytics systems, architecting semantic data frameworks, and establishing robust experimentation and validation strategies to drive user engagement. She is passionate about bridging data engineering and advanced analytics with business strategy, helping organizations move beyond raw data to informed decisions and meaningful outcomes.

At DSC Next Conference 2027, Elena brings a cross-industry perspective to conversations on how data science and AI can help organizations navigate complex challenges, identify opportunities, and translate analytical insights into real-world business impact.