Automating repetitive data work
I use Python, Excel and API-based workflows to reduce manual effort across data preparation, validation, enrichment, reporting and operational processes.
Portfolio overview
Data Analyst | BI Analyst Python · SQL · Power BI · ETL · Data Quality · Workflow Automation
With 5+ years of hands-on data experience across logistics, research and international
business environments, I build practical data workflows with Python, SQL, Power BI and
Excel automation - reducing manual work, improving data reliability and helping teams
make faster decisions.
My experience includes automating ERP data preparation with Python, building Power BI
dashboards for management reporting, integrating supplier APIs, cleaning research and
operational datasets, and developing internal tools that streamline request handling
and reporting workflows.
Current part-time contract:
ETL & Data Automation Analyst at IAMO, building Python-based research-data pipelines combining FAOSTAT, UN Comtrade, WTO/RTA metadata, HS commodity mappings, exchange rates and structured Excel outputs.
Latest Full-Time Role:
Data Analyst / Data Solutions Developer at DB Schenker’s On-Demand Production Venture, focused on Python automation, ERP/product-data quality, supplier API integration, Power BI reporting and internal workflow tooling.
Earlier experience:
BI internship at FedEx and research-data work at IAMO, covering dashboard support, customer/shipment trend analysis, geospatial enrichment, survey/statistical data preparation and reporting automation.
CV Overview
Curriculum Vitae
Download my CV in English or German for a structured overview of my experience, technical skills and education.
At a glance
What I bring to a data team
I bring a practical, business-focused approach to data work: Python automation, Power BI reporting, data quality improvement and process understanding.
In practice, this means turning manual, time-consuming workflows into repeatable data processes that teams can rely on. A recent example is my work at DB Schenker, where my contribution was credited with reducing manual data preparation time by approximately 80%, shortening reporting turnaround from days to hours, and contributing to a 50–60% reduction in customer response time for parts requests.
Messy inputs
Cleaning & validation
Automated workflows
Dashboards & tools
Trusted outputs
Building reliable reporting
I create Power BI dashboards and KPI views for operational and management reporting, with a focus on clear structure, usable filters and business-friendly summaries.
Improving data quality
I clean, validate, standardize and cross-check datasets using naming rules, format checks, duplicate checks and consistency logic so teams can trust the numbers they use.
Supporting business users
I document workflows, explain outputs clearly and build tools around how colleagues actually work, not only around how the data should theoretically look.
Recommendation letters
Strengths confirmed by recommendation letters
My recommendation letters show a consistent pattern across different environments: fast understanding of complex processes, structured execution, practical problem-solving, clear documentation, reliability, and strong technical execution with Python, Excel, and Power BI.
DB
DB Schenker
Operational impact
“Significantly reduced manual data preparation time by approximately 80% and lowered data error rates through the successful automation of ERP data processing.”
Open letter →
FX
FedEx Express
Python advantage
“Sergei’s knowledge of Python has been a huge advantage to our team.”
Open letter →
IA
IAMO
Research data work
“His command of advanced data-management functions in MS Excel, Python and Stata was crucial for efficient and timely task execution.”
Open letter →
AE
AIESEC
Problem-solving
“With his quick comprehension and ability to solve problems promptly and creatively, he greatly enriched our committee.”
Open letter →
Explore
Explore my portfolio
Use the sections below to review my background, dashboards, projects and credentials.
01
About & Experience
A closer look at my background beyond the CV: education, work experience,
technical skills, languages, working style and professional timeline across
corporate venture, research and analytics environments.
Open page →
02
BI Showcase - being updated
Dashboard-style business intelligence page showing KPI structure, reporting layout and operational monitoring logic.
Coming soon →
03
Projects Showcase - being updated
Selected Python, SQL, Excel and Power BI work with repositories, dashboards and practical analytics examples.
Coming soon →
04
Operational Data Automation - in development
Example of how manual request-processing and reporting workflows can be improved with Python, Excel, APIs and Power BI.
Coming soon →
05
Credentials & Research
Certificates, research contributions and ongoing learning paths in analytics and data-focused tools.
View certificates →