Sergey Zakharov

Used big data tools like PySpark, Hive and Python's data stack to provide analytical and statistical solutions for a major Russian retail company. Performed A/B testing for the offline retail chain. Built Python containerized backend for a callcenter voice bot using Pytransitions, Python data stack, Gensim etc. Conducted text analytics on customer reviews. Performed code reviews.

Create predictive models to predict users' behavior. User profiling. Develop recommendation systems. Use text mining to find closest texts and to build features for ML models. Acquire and refine data to be used in data mining tasks.

Business analyst for a major project to implement SAP management information systems at a major energy generating company, mostly working with the BI/BW solutions. My role in the project involved: - Creating methodology for the planning/budgeting part of the system - Implementing change requests for budgeting systems, communicating business needs to the development team - Providing business analysis support for scaling implemented systems to sister companies

Systems Analyst for a project to implement costs planning and reporting for a state fund. - Provided documentation to support the system - Created forms for budgets and reports - Contacted the client's employees to translate business needs to the development team

Systems Analyst for a project to implement budgeting system for a major company operating in oil&gas sector. - Created methodology for planning and reporting on core activities, revenues and production costs - Tested the budgets and reports together with the future users - Provided communications with the company's executives responsible for planning business activities

Built financial models. Conducted calculations for planning. Designed reports for planning and reporting.

- Built financial models - Provided analytical reports - Created production and sales optimization models

- Classification - Regression - Clustering - Reinforcement Learning (Q-Learning) - Machine Learning for Trading

World Economics