Slav Petkovic

Responsibilities:

• Collaborate with leadership team to identify and address business needs through data analytics.
• Lead comprehensive analytics studies on extensive data sets, focusing on actionable insights.
• Develop a Data Warehouse tailored to stakeholder requirements, for modeling and reporting.
• Employ exploratory statistical techniques for data interpretation, adhering to scientific methods.
• Spearhead analytics and research using CRISP-DM methodology.
• leveraging Python for descriptive and predictive analytics based on machine learning algorithms for time series analysis, customer segmentation, customer sentiment analysis.
• Conduct experiments on data sets, deriving innovative solutions for complex data challenges.
• Implement ETL processes for data integration from various internal and external sources, through custom developed Python API scripts or Funnel and Stitch platform.
• Create and automate Power BI reports for key performance indicators (KPIs) such as Revenue, Margin, Orders, Online Sessions and Customer Lifetime Value.
• Utilize Large Language Models to develop AI Agents based on Retrieval-augmented Generation.
• Develop Autonomous AI Agent Swarm based on Large Language Models, for internal analytics.
• Lead the Business Intelligence/Data Science team, driving strategic data initiatives.
• Mentor team members in Power BI, Python, Machine Learning, and AI, enhancing team abilities.

Responsibilities:

• Engineered diverse ETL processes for client-specific projects using Python and frameworks like SQLAlchemy, Pandas, SocketIO, Flask and Django.
• Developed and maintain company’s proprietary Python library for predictive analytics.
• Created real-time, Occupancy Manager dashboard, employing Python and JavaScript with Bootstrap.
• Developed real-time key performance indicator dashboard using Power BI and Sisense.
• Implemented machine learning algorithms for computer vision on RaspberryPi and Jetson Nano.
• Designed a customer behavior analysis system, employing ARIMA and FbProphet for time series analysis and predictive modeling of occupancy and transaction trends.
• Developed custom machine learning algorithm for facial recognition.
• Developed custom machine learning algorithm for mask detection.
• Developed custom machine learning algorithm for customers distance tracking.
• Trained associates in Excel, Python, Analytics and visualization.

Responsibilities:

• Conducted data mining and modeling using machine learning techniques: clustering, KNN, time series, and regression analysis.
• Developed automated scrapers for product data attribution enrichment.
• Created Python-based procedures for efficient data collection, evaluation, metrics, and reporting.
• Provided automation and problem-solving support for Taxonomy research, and data governance.
• Developed a Data Management Database to optimize daily analysis.
• Developed and maintain Tableau KPI reports for the Data team.
• Created a Python application for UPC Check Digit calculation based on the GS1 algorithm.
• Implemented an image management process using Python, OpenCV and Azure Blob Storage.
• Created a custom Similarity algorithm for comparing product attributes and entities.
• Developed an ETL processes for integrating third-party data into the Agility platform.
• Managed and maintain Freshdesk analytics using customized Python API script.
• Mentord team members with training classes in Tableau BI, Python, Excel.

Responsibilities:

• Conducted detailed data analysis using Excel and SQL to inform deployment requirements.
• Provided technical leadership in project management, encompassing architecture design and problem resolution across various projects, including collaborative efforts with partners.
• Created detailed Site Designs using MS Visio and specialized software tools, contributing to comprehensive proposals and specifications.
• Led system configuration and validation initiatives, ensuring reliable data delivery.
• Served as a coordinator and trainer for new team members in India, fostering skill development.
• Led as the primary tester for new proprietary hardware and user interfaces in customer environments.
• Played a key role in deploying and ensuring the functionality of Real-Time Dashboards for major retailers including Walmart, Giant Eagle, and Meijer.
• Actively oversaw the deployment of NOMi technology within the Walmart environment, ensuring seamless integration and performance.

Responsibilities:

• Conducted thorough data analysis, producing precise interfaces aligned with the goals of each project.
• Collected and compiled data from multiple sources into specified formats, employing tools such as Access, Excel, SQL Server, and Query Management Facility for in-depth analysis.
• Assessed problems and crises, investigated solutions and prepared comprehensive reports.
• Analyzed and optimized field labor scheduling to improve operational organization.
• Collaborated with the Labor, Repair, and Sales Execution teams to drive performance improvements
• Facilitated the deployment of Repair software across locations in Atlanta, Phoenix, and Indianapolis.
• Managed the MicroStrategy analytics system, delivering reports to field and corporate management.
• Delivered training on new systems to field users, enhancing operational proficiency.