Пожалуйста, войдите, чтобы скачать резюме.
Experience level:
1-3 years
Education level:
Bachelor
Languages:
Russian: Native
English: B2
1) Collected and catalogued requirements from 10+ stakeholders regarding
critical production KPIs (unscheduled downtime, defect rate, shift throughput,
daily tonnage).
2) Analyzed and integrated data from SSM (Metal Tracking System), QMet
(MES), and local reports, designed a complete data model for Power BI.
3) Built AS-IS and TO-BE models for 5 key processes using BPMN and IDEF0,
proposed automated ETL → dashboard → notification workflow with SLA
requirements.
4) Developed a suite of interconnected Power BI dashboards with DAX
measures for % downtime, plan fulfillment, and period-over-period dynamics.
Key Achievements:
1) Reduced daily reporting time by 3x by eliminating manual data collection
and automating Excel-based workflows.
2) Successfully migrated scattered legacy reports (Excel/Google Sheets) into a
centralized, automated data warehouse.
3) Designed a unified data model that integrated disparate production systems
into a single source of truth.
4) Enabled instant root-cause analysis for defects down to the individual
product unit level via interactive BI features.
1) Designed and configured a centralized database for automated export and
accumulation of service requests from multiple service desks.
2) Participated in the implementation of a help desk system for all technical
support lines, providing unified ticket management and real-time tracking.
3) Setting up automatic uploads to the database using REST API.
4) Developing RPA for automatic data extraction from service desks where API
access is unavailable.
5) Developing a YandexDatalens analytics platform that consolidates all
incoming requests, providing clear SLA monitoring, bottleneck identification,
and performance dashboards for management.
6) Creating automated data pipelines and visualizations to support data-driven
decision-making in support processes.
Core Competencies:BI
& Analytics: Power BI (DAX), Yandex DataLens, Metabase,
Pandas, NumPy.Business Analysis: BPMN 2.0, UML, IDEF0, EPC,
Archimate.Databases: SQL (PostgreSQL, MySQL), Database
design, and REST API integration.Automation: RPA for data
extraction, automated ETL pipelines, and SLA monitoring.AI
Implementation: Using LLMs and AI tools to accelerate data analysis
and model training.What I offer: I am a strong communicator
who can speak both “business” and “IT” languages. I have a
proven track record of formalizing complex requirements (PRD/
BRD) and delivering measurable results—from replacing chaotic
Excel sheets at Severstal to building centralized BI platforms at
Raitek.Languages:Russian: native.English: B2. German: A2