Data Analyst | Data Pipelines & Reporting | Python, SQL, Power BI Python β’ SQL β’ Power BI
Data professional with 3+ years of Big 4 ESG & sustainability consulting experience, now transitioning into data engineering and analytics.
I specialize in:
- turning complex, multi-source datasets into valuable insights
- building modular data workflows (ETL-style projects)
- designing clear, decision-ready visualizations
Currently expanding into:
- data engineering pipelines
- machine learning fundamentals
- scalable analytics systems
Languages & Tools
β’ Python (Pandas, NumPy, Matplotlib, Seaborn) β’ SQL(PostgreSQL) β’ Power BI
Core Skills
- API ingestion
- Data Analysis & Transformation
- ETL Pipelines
- Time-Series Analysis
- Data Visualization
- KPI & Reporting Systems
Energy market intelligence dashboard analyzing European fuel prices, volatility, and macro trends using real-world EU data (Python, Streamlit).
π View Project
Time-series weather analytics system for analyzing climate trends and environmental data using Python, APIs, and data visualization.
π View Project
Business analytics dashboard for KPI tracking, performance analysis, and data visualization using Python (Pandas, Matplotlib).
π View Project
Data-driven habit tracking tool in Python β analyze daily and weekly streaks, completion rates, and visualize consistency with heatmaps.
π View Project
- Data engineering projects (pipeline design, modular architecture)
- Machine learning fundamentals for structured data
- Portfolio focused on real-world, production-style workflows
- Senior Associate (ESG & Sustainability) β Big 4, Vienna (AT)
- Built standardized, data-driven sustainability reporting structures, supporting compliance and high-quality disclosures for 8+ major industry clients
- Worked with ESG datasets, KPIs, and regulatory frameworks (ESRS, EU_Taxonomy, GRI, SASB)
German (Native) β’ Russian (Native) β’ English (C2) β’ French (C1)
- π Website: https://flowcv.me/konstantin-lokotunin
- πΌ LinkedIn: https://www.linkedin.com/in/konstantinlokotunin/
- π§ Email: konstantin.lokotunin@sciencespo.fr
