Egor Verkhovskikh

Collected, cleaned, validated, and analyzed data from multiple sources to
ensure accuracy, consistency, and reliability for reporting and decision
making.
Developed and maintained reports, dashboards, and data summaries using
Microsoft Excel to monitor key performance indicators and operational
metrics.
Performed data quality checks, identified discrepancies, and implemented
corrective actions to improve data integrity and reporting accuracy.
Analyzed trends, patterns, and business data to provide actionable insights
and support data-driven decision-making.
Managed large datasets, maintained structured databases, and ensured
timely updates of records and reporting information.
Created data visualizations and presented findings in a clear and
understandable format for both technical and non-technical stakeholders.
Supported forecasting, tracking, and performance analysis by organizing
and interpreting operational data.
Utilized analytical techniques and data modeling concepts, including a
customer segmentation project using Python, to identify trends and
improve targeting strategies.
Collaborated with cross-functional teams to gather requirements, verify data
accuracy, and improve reporting processes.
Identified opportunities for process improvement and contributed to
enhancing data management, reporting efficiency, and workflow
effectiveness.

Reviewed, analyzed, and shortlisted a large number of software engineers
forvarious technical positions, successfully sourcing and
identifying numerous Data Science specialists across different levels.
Established and maintained partnerships with universities to support early
talent acquisition initiatives, while conducting comprehensive market
research and talent mapping to identify recruitment trends and optimize
sourcing strategies.
Sourcing, screening, and selecting top talent to match business needs
Staying updated on industry hiring trends and talent availability. Learned
how to workwith people and conduct a professional dialogue.