Dmitrii Zboroshenko

– Participated in projects for the implementation of services based on machine learning models at all stages, from pre-sale and goal formulation to implementation, testing and support.

– Participated in several external projects in different roles (consulting data-scientist, technical lead, ML engineer) collaborating with stakeholders to define business problems and ways to solve it, evaluation approaches. – Implemented and deployed a service for evaluation the relevance of tenders for the internal CRM platform that reduced the search workload for users by 85%. – Developed approach for segmentation of medical services customers for demand forecasting, resulting in robust and interpretable pipeline, which leads to producing more precise forecasts for budgeting.

– Collaborated with product managers to produce a list of most valuable (for customers) features, which can be implemented using machine learning models. – Implemented feature of product recommendations for supply management module by development of fully automated NLP pipeline. – Implemented feature of invoice recognition and fulfillment for accounting module by development pipeline, which combined OCR and NLP models, resulting in 85% automation of invoice processing.

– Managed and mentoring the team of 5 data-scientists, producing the individual study and growth guidelines. – Participated in several projects in healthcare management, diagnostics and product feature development, working closely with stakeholders, management, product team, creating solutions with combination of data analysis, machine learning algorithms and adaptation of business processes for achieving better data-transparency.

– Managed analytics team, satisfying the needs of business units in supply chain management, assortment management, pricing, marketing and stocks optimization. – Participated in several projects of business process automation for supply planning and forecasting, reporting and client segmentation.