Dadash Guluzade

Owns end-to-end pricing analytics solutions, develops anomaly-detection and predictive models, and builds scalable ETL/ELT pipelines using Python, PySpark, SQL, Azure Synapse, Databricks, and Data Lake. Designs analytical datasets and Power BI semantic models for executive analytics.

Processed and analyzed vendor invoice data within SAP Vendor Invoice Management, supported reporting and process analysis, and contributed to Procure-to-Pay optimization.

Applied anomaly detection techniques on network traffic and system logs, built Python-based analytical pipelines, and processed security data from tools like Wireshark, Nmap, Burp Suite, and Metasploit.

Performed financial, regulatory, and risk analysis for client operations, supporting reporting and business decision-making.

Collaborated cross-functionally on financial processes, regulatory audits, SOX controls, and stakeholder requirements.

Supported financial data and administrative operations within government treasury functions.

Supported network, system administration, security assessment, and basic infrastructure analysis.

Pursuing a PhD in Business Administration with a focus on algorithmic management.

Master's degree in Economics and International Business from the University of Lodz.

Bachelor's degree in Finance from Azerbaijan State Economic University.

Completed Ethical Hacker certification through Cisco Networking Academy.

Completed Google Advanced Data Analytics certification through Coursera.

Completed IBM Machine Learning certification through Coursera.

Completed Cyber Threat Management certification through Cisco Networking Academy.

Completed SQL for Analytics training at Altkom Academy.

Completed NVIDIA training on Large Language Models and Generative AI Deployment via Whizlabs.