Zakieh
Sharifian

Data Analyst | Data Engineering | Business Intelligence
Bielefeld, North Rhine-Westphalia, Germany

Data Analyst based in North Rhine-Westphalia, Germany with expertise in data engineering, financial analytics, and business intelligence. Led the design of a comprehensive analytics solution for a holding company with 30+ subsidiaries in Microsoft Fabric and Power BI — reducing manual reporting by over 40% and enabling near real-time financial insights for senior management.

Zakieh Sharifian
Microsoft Fabric Power BI DAX PySpark SQL Python Data Engineering Financial Analytics Machine Learning Bioinformatics Ph.D. Computer Science

From raw data to
real-time decisions.

Data Analyst and researcher based in Bielefeld, North Rhine-Westphalia, Germany, with deep expertise in data engineering, financial analytics, and business intelligence. I have led the end-to-end design and delivery of a unified financial reporting platform for a holding group with 30+ subsidiaries, consolidating heterogeneous data sources into Microsoft Fabric and Power BI — cutting manual reporting efforts by over 40% and delivering near real-time insights to CFO-level stakeholders. Skilled in Power BI (DAX, Power Query), SQL, PySpark, Python, and predictive modelling; known for translating complex data into clear, actionable business decisions.

Senior Data Analyst — Data Engineering

Houshmand Farayand Raya · Financial Projects
  • Led design and implementation of a comprehensive financial analytics solution for a holding company with 30+ subsidiaries, consolidating SQL databases, SharePoint, and manual inputs into a unified reporting layer in Microsoft Fabric and Power BI.
  • Led and coordinated cross-functional international team members across diverse cultural backgrounds to deliver complex data projects on time.
  • Developed custom DAX measures and transformation logic for multi-currency handling (USD, IRR), enabling automated Gross Profit, Operational Profit, and EBT calculations across all entities.
  • Designed modular dataflow architecture with centralised governance, improving maintainability and scalability as new subsidiaries were onboarded.
  • Introduced data quality monitoring framework, reducing manual reporting efforts by over 40% and enabling near real-time financial insights for senior management including the CFO.
  • Deployed data engineering pipelines using PySpark notebooks in Microsoft Fabric for scalable data processing and transformation.
  • Developed mobile-friendly Power BI dashboards, enabling stakeholders to access real-time financial insights on the go.

Management Information System Analyst

Volta Shipping Services · Hybrid

Data cleaning, modelling, forecasting and cross-team reporting to support operational decision-making.

Lecturer & Research Assistant

Daneshpajoohan Pishro HEI & Safahan University · Isfahan

Taught Database Systems, Cloud Computing, Networking, OS, IT Project Management, Algorithm Design, and Research Methods. Supervised master theses on IoT optimisation and leukemia detection using ML feature selection.

Data Analyst

Payvaran Mehdade Pouyesh · Tehran

Implemented ML models, risk assessment frameworks, and end-to-end analytics solutions for business intelligence reporting.

Featured Skill

Microsoft Fabric

End-to-end unified analytics platform — Lakehouse architecture, Dataflows Gen2, PySpark Notebooks, and Power BI semantic models. Designed and deployed enterprise-scale Fabric workspaces consolidating 30+ subsidiaries' financial data into a single governed OneLake environment with near real-time reporting.

Lakehouse Dataflows Gen2 PySpark Notebooks Data Pipeline OneLake Real-Time Intelligence Semantic Model Data Governance

Data Engineering & Platforms

  • Microsoft Fabric
  • PySpark
  • Azure Synapse
  • SQL

Analytics & Visualisation

  • Power BI (DAX, Power Query)
  • Tableau
  • Excel (Advanced)
  • Financial Reporting

Programming & Scripting

  • Python (Pandas, PyTorch)
  • R
  • TensorFlow
  • MATLAB

Machine Learning

  • Predictive Modelling
  • Time Series Analysis
  • Feature Selection
  • Deep Learning

Tools & DevOps

  • Git
  • CI/CD
  • Data Governance

Research Interests

  • Computational Genomics
  • Cancer Biomarker Discovery
  • Precision Medicine
  • Systems Biology
2023

Ph.D. in Computer Science

Islamic Azad University, Najafabad Branch · Isfahan, Iran
Thesis: A Novel Practical Framework in Reactive Routing Protocol Equipped by the DDoS Attack Detection Method for Intelligent IoT-Based Networks.
2015

M.Sc. in Computer Science

Islamic Azad University, Sari Branch · Mazandaran, Iran
Thesis: Diagnosing Appendicitis Using Artificial Neural Networks, SVM, Bayesian Classifier, and Random Forest.
2011

B.Sc. in Applied Mathematics

Khayyam University · Mashhad, Iran
Dissertation: Application of Knowledge Graph.
Microsoft Fabric: The Ultimate Guide (with Projects)
Skills: Microsoft Fabric
Udemy
2025
Leadership: Practical Leadership Skills
Skills: Team Leadership
Udemy
2025
Machine Learning and Artificial Intelligence in Power BI
Skills: Power BI, DAX, Data Modeling, Financial Analytics
Udemy
2025
Power BI Financial Reporting & Financial Analysis: A to Z
Skills: Financial Analysis, Financial Reporting
Udemy
2025
MS SQL Server: Learn MS SQL Server from Scratch
Skills: Microsoft SQL Server, T-SQL, Database Management
Udemy
2025
The Complete SQL Bootcamp: Go from Zero to Hero
Skills: PostgreSQL, PgSQL, Database Querying
Udemy
2025
Data Governance — The Complete Course for Beginners
Skills: Data Governance, Data Quality, Master Data Management
Udemy
2024
Data Science
Skills: Data Science, Machine Learning
Tehran University
2023
  • Supervised Master theses on IoT optimisation and leukemia detection using feature selection and ML techniques.
  • Reviewer for Journal of Supercomputing and IEEE journals. Top Student Award, Islamic Azad University 2023.
Sin-Cos-bIAVOA: A New Feature Selection Method Based on Improved African Vulture Optimization Algorithm and a Novel Transfer Function to DDoS Attack Detection.
Expert Systems with Applications · 2023
LOADng-AT: A Practical Implementation of Hybrid AHP-TOPSIS Algorithm in Reactive Routing Protocol for Intelligent IoT-based Networks.
Journal of Supercomputing · 2022
An Enhanced Routing Algorithm in Smart IoT Networks with Mobile Nodes.
Journal of Intelligent Procedures in Electrical Technology · 2023
Development of an eHealth Tool for Capturing and Analyzing Immune-related Adverse Events (irAEs) in Cancer Treatment.
Cancer Informatics · 2023
English
C1 · Advanced
German
B1 · Intermediate
Persian
Native

Open to opportunities
in Germany and across Europe.