Industrial Engineer with a passion for artificial intelligence and data technologies, currently pursuing an MS degree in Data Engineering & Artificial Intelligence. Business Intelligence Engineer experienced in leveraging technical expertise and strategic thinking to deliver impactful, data-driven solutions. Proficient in SQL, Power BI, and data visualization, excelling at tackling complex problems and transforming data into actionable insights. Goal is to actively contribute to innovative projects in AI and data technologies, continuously refining technical skills and driving success through collaborative efforts.
• Data Modeling: Design and implement robust models to support BI needs.
• Dashboard Development: Build impactful Power BI dashboards for data-driven decisions.
• Data Analysis: Uncover trends and opportunities through in-depth analysis.
• SQL Expertise: Write and optimize queries for complex databases.
• Collaboration: Translate business requirements into effective technical solutions.
• Reporting Automation: Streamline processes to boost efficiency and accuracy.
• Strategic Insights: Provide data-driven recommendations for business growth.
• AI & Data Tech: Integrate AI-driven methods for enhanced data solutions.
• Large-Scale Data Analysis: Extract actionable insights from extensive datasets.
• SQL & Python: Utilize programming languages for comprehensive data exploration.
• KPI Development: Define and track key metrics to assess performance.
• Data-Driven Decisions: Provide insights that guide strategic business moves.
• Cross-Functional Collaboration: Partner with marketing, sales, and product teams.
• Business Requirements: Translate needs into effective data solutions.
• A/B Testing: Design, execute, and interpret experiments to optimize outcomes.
• Scrum Facilitation: Served as Scrum Master, promoting collaboration and boosting team performance.
• Client Communication: Engaged in project discussions, reviewed deliverables, and secured approvals.
• Data Extraction & Analysis: Crafted SQL queries to guide business strategies.
• Process Improvement: Streamlined tools and processes for greater operational efficiency.
• Data Presentation: Delivered insights to senior leadership for strategic decisions.
• Team Collaboration: Ensured consistent metrics and best practices across data teams.
• Data Quality Monitoring: Conducted audits to maintain accuracy.
• Reporting Accuracy: Developed and tested outputs before release.
• Business Case Development: Produced proposals to drive process improvements and new initiatives.
• B2B Product Sales
• Export Sales
• Pricing & Order Planning
• Sales Reporting: Monthly & weekly revenue and tonnage
• Marketing & Budgeting: Plan annual marketing actions
• Website Management: Organized Meiser Turkey homepage
• Product Knowledge: Learned about newly introduced products