Hi, I'm
Murodjon Berdimurodov
Finance professional with 2+ years of banking experience in trade finance, international transactions, and regulatory compliance — now specializing in financial data analytics. I combine an MSc in Economics of Global Risk with hands-on data science work, applying SQL, Python, Power BI, and econometric modeling to solve problems in the financial sector. Bloomberg-certified, with a track record of bridging banking domain expertise and quantitative analysis into data-driven decisions.
Giessen, Hesse, Germany · English · Russian · Uzbek · German
Toolkit
Skills & Core Competencies
Data & Analytics
- SQL (PostgreSQL, MySQL)
- Python (Pandas, NumPy)
- Power BI / DAX
- dbt
- Excel (Advanced)
- Data Visualization
Finance & Banking
- Trade Finance / Letters of Credit
- KYC / AML Compliance
- Sanctions Screening (OFAC/EU)
- Financial Modeling
- Bloomberg Terminal
- Transaction Banking
Research & Methods
- Econometrics (VAR, OLS)
- Stata
- Financial Risk Analysis
- Time-Series Analysis
- Database Design / RDBMS
- Statistical Modeling
Certifications
- Bloomberg Market Concepts (BMC) — Bloomberg
- Bloomberg Finance Fundamentals — Bloomberg
- dbt Fundamentals — dbt Labs
- Microsoft Fabric — Udemy
- Data Analyst in Power BI — DataCamp
- SQL Certifications (Database Design, Data Manipulation, Relational Databases) — DataCamp
- SQL Certificate — HackerRank
- IELTS Academic — Band 7.5 — British Council
Languages
- English (Full Professional — IELTS 7.5)
- Russian (Full Professional)
- Uzbek (Native)
- German (Intermediate)
Career
Professional Experience
Data Science & Reporting Intern
Mar 2026 – PresentFZD Global GmbH · Heidelberg, Germany
- Build and maintain interactive Power BI dashboards and management reports, translating raw operational and financial data into actionable insights for senior stakeholders.
- Write and optimize SQL queries to extract, transform, and validate data, supporting recurring reporting workflows and ad hoc analytical requests.
- Apply dbt for data transformation and modeling within the analytics pipeline, ensuring reproducibility and version control of data logic.
- Used Microsoft Fabric to build and manage end-to-end data pipelines, integrating and centralizing data sources for streamlined analytics and reporting.
- Collaborate cross-functionally to define KPIs and automate manual data processes, improving turnaround time on deliverables.
Research Assistant — Applied Economics
May 2025 – PresentJustus Liebig University Giessen · Giessen, Germany
- Conduct quantitative research on inflation dynamics and financial risk using VAR and OLS regression methods.
- Develop and execute statistical models in Python and Stata over macroeconomic and financial time-series datasets.
- Prepare data visualizations, regression tables, and research summaries for faculty working papers and presentations.
- Collect and clean data from central bank databases, World Bank, and Bloomberg Terminal for analytical reproducibility.
Leading Expert — Transaction Department
May 2024 – Sep 2024Xalq Banki (People's Bank of Uzbekistan) · Tashkent, Uzbekistan
- Managed end-to-end processing of international payment transactions across correspondent banking networks with a zero-violation compliance record.
- Verified cross-border transfers against OFAC/EU/UN sanctions lists and KYC/AML requirements.
- Initiated and led implementation of an electronic documentation system, reducing manual processing time and improving audit traceability.
Trade Finance Specialist
Sep 2022 – Aug 2023Asakabank · Tashkent, Uzbekistan
- Processed and structured trade finance instruments — letters of credit, bank guarantees, documentary collections — for corporate and institutional clients.
- Coordinated international grant disbursement and investment workflows with EBRD and the Asian Development Bank.
- Served as primary point of contact for trade finance clients across the full transaction lifecycle.
Information Technology Trainee
May 2021 – Sep 2021Asakabank · Tashkent, Uzbekistan
- Monitored performance and stability of core banking software across branches, supporting reduced system downtime.
- Participated in User Acceptance Testing (UAT) for new banking software releases.
Background
Education
Justus Liebig University Giessen
MSc in Economics of Global Risk — Applied Economics
Focus: financial risk modeling, inflation dynamics, applied econometrics. Tools: Python, Stata, Bloomberg Terminal.
Westminster International University in Tashkent
BSc in Economics and Finance — Upper Second Class Honors (2:1)
UK-accredited curriculum (University of Westminster, London). Coursework: Financial Economics, Econometrics, Corporate Finance, Investment Analysis.
Let's connect
I'm looking for Data Analyst opportunities within financial services. Reach out — I'd love to talk about how data and finance can work together.