Development of Demand Forecasting process across 6 markets

• Created a team and built a business insights and analytics function from the scratch
• Successful converted Marketing Research department to big scale Business Insights function, combining under one roof Marketing Research, Demand forecasting, Trade efficiency analysis & modeling, marketing planning and reporting.
• Successful development and set up of Demand Forecasting process across all 6 markets.
• Improvement of deployed Primary Research methodologies and internal data sources.
• Development and launch of new analytical reporting initiatives.

As part of my role at Time Research & Innovation, I Ied creation of World Health Aid (WHA), a multilingual real-time health advice platform designed to support disadvantaged individuals. WHA is a comprehensive solution that facilitates telemedicine services, bridging the gap between healthcare providers and underserved populations. It combines live patient and clinician-facing decision support systems, offering a range of paid and free services, including self-diagnosis screening through video and voice chat, multilingual instant translation, voice-command symptom search, real-time messaging, and secure record keeping.

• Gathered a team of BI Analysts and Developers from the scratch
• Created a data warehouse prototype using Qlik Sense and built a full commercial business reporting system from the ground
• Complete evaluation of the company's business reporting system, including financial reporting. Sources of financial losses and inefficiency have been identified and quantified.
• Provided recommendations to the operations office on sales enhancement activities and monitored implementation, which resulted in a significant revenue impact.
• Built demand forecasting model using XGBoost Regression

• Developed an automated Python Machine Learning model that provides post-evaluation for sales support programs and takes mutual cannibalization into account.
• Organized and led an ETL developers team that built Avon Russia's Cloud Data Warehouse, the only data source with consolidated and verified business data for operational analytics.
• With a team of ETL Developers Rebuilt Russian data instance of Global DWH in Snowflake with attached data flow interfaces.
• Initiated, developed, and implemented new Representative discount system and performance tracking dashboard in Tableau to promote productive sales behaviour
• Initiated and performed audit of existing business planning processes, suggested ways to improve demand forecasting accuracy
• Initiated and performed series of strategic analysis on pricing, average order, representatives’ costs and benefits to understand causes behind current business performance and highlighted possible business solutions to the top management and enabled more accurate sales predictions.

Tackled the learning issue by implementing various personalized learning styles and improved the product checkout process by decreasing the clicks required for payment from 4 to 2 through A/B testing. This streamlined the checkout process, making it more efficient and user-friendly.