CV
I work across energy and renewables analytics, KPI reporting, forecasting-oriented analysis, and
geospatial data work.
The common thread is practical delivery: SQL, Power BI, Python ETL, data quality checks, and
documentation that makes recurring analysis easier to trust.
Core themes
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Energy & renewables analytics
-
Operational reporting
-
Forecasting-oriented analysis
-
Geospatial workflows
- ETL / ELT
- Data quality
Browse the selected timeline below. When a PDF version is available, it will be linked here too.
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Timeline
Selected roles and milestones, with the useful parts kept visible.
Oct 2022 - Aug 2024
Remote
Data Analyst (Geospatial Analytics)
Agroresurs Karaidel
Owned the analytics path from PostgreSQL/PostGIS and Python ETL through Power BI and Metabase reporting, with a strong geospatial and weather-linked analysis component.
Highlights
- Built KPI dashboards for yield, cost, and soil-health monitoring across two regions
- Ran a 5-year weather-yield analysis to surface rainfall-deficit patterns and support irrigation planning
- Analyzed machinery GPS and operations data to improve routing efficiency
- Implemented data-quality checks and metric definitions to keep reporting reproducible and auditable
Business impact
- Dashboards were adopted for daily planning by managers and agronomists
- Route optimization reduced total mileage by about 25% and fuel consumption by about 17%
- Improved trust in reporting by fixing ingestion issues and formalizing QA checks
- Turned fragmented operational data into planning information people could use
Core skills
- SQL
- PostgreSQL
- PostGIS
- Python
- ETL
- Power BI
- Metabase
- Data Quality
- KPI Reporting
- Geospatial Analytics
Mar 2021 - Jun 2022
Remote
Energy Data Analyst
Rhizoma
Defined facility-level energy KPIs and built dashboards and reporting routines for recurring performance tracking.
Highlights
- Tracked energy KPIs including kWh/m², peak kW, and load factor
- Consolidated meter and sensor data for monthly reporting and trend analysis
- Created method notes to keep calculations consistent over time
- Defined alert rules for abnormal consumption patterns to support faster operational response
Business impact
- Improved visibility into facility-level energy performance
- Standardized calculations and reporting logic for recurring monthly analysis
- Enabled faster detection of abnormal consumption patterns
- Translated raw consumption data into clearer operational signals
Core skills
- Energy Analytics
- KPI Reporting
- Power BI
- SQL
- Excel
- Trend Analysis
- Alerting
- Reporting
- Data Analysis
Sep 2020 - Jun 2021
Moscow, Russia
PMO Analyst / Coordinator
AIESEC
Coordinated hybrid and international event delivery across distributed teams, with lightweight planning, documentation, and operations support.
Highlights
- Led a task force to pilot a hybrid event format for more than 80 attendees
- Coordinated five international events across teams in four countries
- Managed logistics, agendas, and collaboration workflows under time constraints
- Introduced lightweight documentation and task-tracking practices to improve alignment
Business impact
- Hybrid event format increased attendance by about 20%
- Improved coordination across distributed teams and stakeholders
- Reduced delivery friction through clearer workflows and documentation
- Built a foundation in stakeholder management and structured execution
Core skills
- Project Coordination
- Stakeholder Management
- Process Improvement
- Cross-functional Collaboration
- Documentation
- Jira
- Operations