Operations Experts

A results-driven senior data professional with 4 years of experience in data analysis, business intelligence, and analytics within consulting and retail sectors. Demonstrates strong technical proficiency in Python, Power BI, and SQL, with a proven track record of leading dashboard projects, mentoring junior analysts, and delivering actionable insights for executive decision-making. Adept at integrating data from multiple sources, developing interactive visualizations, and supporting business process improvements through data-driven solutions.

• Master's Degree of Management Engineering at İstanbul Technical University — Current

• Senior Data Analyst at PwC Turkey — 01/09/2024 – Current

• Led the Nissan Dashboard Project, developing 9 interactive dashboards and personally creating 3 dashboards with high-quality visualizations and accurate data representation.
• Guided and mentored a team of 5 junior analysts through daily meetings, providing strategic direction.
• Facilitated integration of dashboards with company databases through Fabric for automated updates and real-time reporting.
• Ensured dashboards covered key business processes across departments from Sales to Finance, Production to Planning.
• Delivered C-level KPI reports supporting data-driven decision-making for executive management.
• Collaborated on Sabancı Holding Financial Reports Dashboard project, extracting and manipulating data using Fabric to ensure integrity and accuracy.
• Developed interactive financial dashboards in Power BI with time period selection and purchasing power adjustments.
• Facilitated analysis of financial data across more than 40 companies under Sabancı Holding.

• Data Analyst at PwC Turkey — 05/2023 – 01/09/2024

• Created a Declaration of Conformity robot using Streamlit in Python to connect to European Commission websites, update databases, verify and validate data accuracy, and generate reports based on user input.
• Developed an interactive Cyber Attack Monitoring Dashboard for the cyber team using Python and Streamlit, retrieving usage data from an API, graphically representing data based on user input, and systematically writing data to a database.

• Retail Analytics Specialist at Koton — 09/2021 – 04/2023

• Led Feature Selection Project using machine learning methods (Random Forest, SVM) to determine product features affecting performance and implemented results into supply systems.
• Performed Store Segmentation Project using K-Means clustering in Python and created Power BI dashboards for monitoring.
• Analyzed historical data to detect special days affecting retail sales for supply chain management.
• Managed end-to-end data analytical processes including ML projects aligned with business needs.
• Responsible for store grading processes and management of products in stores using data analytics.
• Oversaw developments and outcomes of store replenishment systems automating product transfers from warehouse to stores.
• Pioneered creative work in the team including new reports, analyses, and processes.