Polina Parinova

– I lead delivery of cloud-based and data-driven projects for Yandex Cloud. I coordinate engineering, analytics, and business teams to align requirements, priorities, and timelines. I automate reporting and planning to make delivery predictable and transparent. – Stabilized multi-team delivery by mapping dependencies, risks, and SLAs. Increased on-time delivery from 68% to 92% across 20+ projects – Automated status reporting and resource tracking with Python and Power BI. Cut manual updates by 30% and saved 25 hours per month – Built budgeting and forecasting models for cloud initiatives. Improved forecast accuracy by 15% and held variance within ±5% on a budget of €200k+ – Structured technical requirements and acceptance criteria with engineers. Reduced rework by 22% and shortened decision lead time by 5 days – Implemented delivery dashboards and cadence reviews. Reduced blocker resolution time by 30% and raised stakeholder satisfaction to 9/10.

– I supported sourcing and project planning for long-lead, high-voltage grid equipment at GE Vernova. I built risk and readiness dashboards, aligned technical and commercial inputs, and prepared audit-ready documentation. I helped integrate sustainability into supplier evaluation. – Consolidated technical and cost inputs for long-lead components including HVDC wall bushings, DCCTs, and transformers. Shortened tender cycles by 18% and supported bids worth $120M+ – Developed Excel and Power BI risk dashboards for equipment readiness across multi-country suppliers. Flagged delays early and protected $4.5M margin and 21 days of project schedule.

– I managed engineering-heavy training and innovation programs at Skillbox. I defined scope, KPIs, risks, and dependencies and coordinated cross-functional teams and partners. I built SQL and Excel reporting to track budgets and delivery. – Delivered 12 robotics and additive manufacturing programs for 600+ participants. Achieved 93% on-time launches and 88% completion rate – Introduced KPI, risk, and dependency tracking across cross-functional teams of engineers and instructors. Improved delivery performance by 20% and reduced escalations by 35% – Built SQL and Excel reporting for budgets, timelines, and quality metrics. Cut reporting time by 40% and raised stakeholder satisfaction to 9/10 – Managed partners and budgets through structured change control and milestone reviews. Kept variance within ±4% on a total budget of €750k+

– I contributed to system-level engineering projects at Rosatom. I worked on digital twins, safety analysis, and predictive maintenance with verification and validation. I collaborated with engineers to improve model quality and reliability. – Built and validated simulation models for safety scenarios. Enabled earlier issue detection and more reliable predictions – Designed a GIS-based modelling approach for facility simulations. Increased model fidelity and planning accuracy – Created virtual training environments for operators. Enhanced preparedness for industrial risks and emergency drills – Applied V&V with engineering teams. Strengthened compliance and reduced defect leakage into later stages

– I led large-scale physics education programs at Geekz. I managed delivery, team performance, and quality control while deploying learning simulators and predictive tools. I scaled operations while keeping high student satisfaction. – Scaled a physics program to 11,000 students. Improved outcomes by 17% and expanded capacity by 2.5x; managed 25 FTEs and €70k annual budget – Implemented predictive learning tools and physics simulators to personalize student pathways. Increased engagement by 28% and boosted pass rates by 14% – Optimized instructor scheduling and operational workflows using structured planning and performance tracking. Raised on-time class delivery to 96% and cut delivery costs by 18% – Established structured quality reviews and continuous feedback loops across cohorts. Maintained NPS 9.14 across 3,500+ surveys and reduced churn by 21%

– I supported research at MEPhl in thermohydraulics and defectoscopy. I structured datasets and technical reports to improve data quality. I helped design experimental setups and guided student projects. – Organised and cleaned experimental datasets and documentation. Improved data quality and reproducibility across studies – Built and calibrated setups for helium-cooled steam generator tests. Enhanced measurement stability and operational safety – Supervised student projects in 3D modelling, electronics, and reactor simulations. Supported publication and conference outputs