I offer a range of services to help organizations improve their operations and optimize their processes. Here are some examples of the services I can provide:
1. Data analysis and modeling:
I help you analyze your data and develop predictive models to forecast demand, optimize inventory levels, or improve production scheduling. I have experience with a variety of statistical and machine learning techniques, including regression analysis, clustering, decision trees, and neural networks.
2. Process optimization:
I work with you to identify bottlenecks and inefficiencies in your processes and develop strategies to streamline operations and reduce costs. This may involve using simulation tools to test different scenarios and identify the optimal approach.
3. Quality control and assurance:
I help you design experiments to test the effectiveness of your processes and ensure that your products meet the required quality standards. This may involve developing statistical process control (SPC) charts to monitor key process variables and identify potential quality issues.
4. Supply chain management:
I help you optimize your supply chain by analyzing your data and developing models to improve inventory management, reduce lead times, and improve delivery performance.
Data visualization and communication:
I help you communicate your results effectively to stakeholders by developing data visualizations and dashboards that clearly communicate key insights and performance metrics.
Overall, my goal as an independent data scientist mostly focused in industrial engineering is to help organizations leverage their data to drive improvements in their operations and achieve their strategic goals.