• "Dashboards": Develop and maintain executive-level Tableau dashboards, ranging from high-level monthly overviews to real-time intraday analyses, consolidating critical KPIs for strategic decision-making. Created a dashboard for evaluating frontline team members' call interactions utilizing internally developed scoring system, enhancing overall team efficiency.• "Design": Ensure consistent, user-friendly dashboard layouts across different desktop monitors and mobile devices for enhanced accessibility.• "Cloud Migration Support": Played a key role in supporting the team's migration to a different cloud-based call center software. This involved identifying and mapping necessary data in the new environment, collaborating on Python and Airflow-based data pipelines development for the ingestion of fresh data from API into SQL BigQuery datasets within Google Cloud. Adapted existing Tableau dashboards to align with the new data flow.• "Ad-hoc Analytics": Address specific data/KPI requests promptly, providing accurate insights for informed decision-making.• "Machine Learning": Worked collaboratively in a team to implement Machine Learning models for forecasting call volume in our call center.• "Environment": Work in a highly collaborative team environment, contributing to project-based initiatives in a remote setting, with occasional individual assignments.• "Tech Skills": SQL BQ, Google Cloud, Google Suite, Python, Gitlab, Airflow, Trello, Tableau, Machine Learning Forecasting.

• Worked in a team environment, trying to predict abnormal behaviour of different mechanical components in wind turbines using various Machine Learning and Statistical approaches (K-Means, DBSCAN, Logistic Regression, Correlation Analysis, XGBoost, Neural Networks).• Processed and analyzed big raw time series data in SCADA (Supervisory Control and Data Acquisition) format using different Python packages such as Numpy, Pandas, Datetime, Matplotlib, Plotly.• Most of the workflow was done by actively using Azure Cloud Services.• Analysed, updated and added functionality to the previous team's code using VSCode, Jupyter Notebooks, Git version control. Formatted existing code to PEP8 standards where needed. • Prepared dashboards in Power BI.• Prepared presentations and weekly updates for external client meetings. • Acquired necessary information from client SME's on the subject matter using Google Meet, Microsoft Teams.

Construction projects:http://bavaria54.ru/http://oazis54.ru/http://spectr54.ru/• Analyzed market prices and trends, determined competitive pricing policy for sale prices and lease rates. • Updated stakeholders on current market conditions, recommended on reducing or preventing financial risks for the company.• Supervised work of other departments and 3rd parties performance associated with sales (Legal, Construction, Finance, Sales agents, Bank representatives, etc.)• Yielded 80% occupancy of commercial estate (sold and leased) and 50% of construction-in-process sold for the first 3 years at “AKD”.• Created and successfully defended the concept of commercial infrastructure development of a residential complex comprising thirteen 25-floor high-rises.• Saved over 3 million dollars for the company by persuading the stakeholders to freeze a major construction project due to change in market conditions.• Achieved a 10% increase in the volume of commercial estate sales by implementing a new sales strategy.

Worked in Asia Consulting Group, merged with EY department (Novosibirsk, 2018).• Examined, analyzed customer's business, gathered information on current market conditions and recommended on improvements of long-term business strategies.• Conducted customer's satisfaction surveys, employee's personal interviews.• Assessed candidates for top and middle management positions.• Effectively assessed more than 300 prospective candidates for 20 Top and Middle Management positions (Marketing, Sales, Logistics, R&D) as part of a three-person team working on a large HR project at Unilever plc, Moscow.• Created the book of core values for 2GIS (one of the largest internet-based companies in Russia, according to Forbes) in close cooperation with two other consultants on the team, helping the company to identify the best perspective employees from a large application pool.• Developed effective commercial and teambuilding practices for Sovcombank (https://new.sovcombank.ru/en/about) with the whole cost of the project equal to the monthly value gained from the practices implemented.