Neeraj Karande - Quality Engineer
Projects
Welcome to my Data Analytics Portfolio, where I showcase my expertise in data analysis, visualization, and problem-solving through real-world projects. This section highlights my analytical skills, methodologies, and insights derived from working with diverse datasets. Each project reflects my ability to apply statistical analysis, machine learning, and business intelligence tools to drive data-driven decision-making.
Six Sigma Black Belt
Pyrotek AB Jan 2023 - May 2023
A key highlight is my work on Insural 140 Precast Refractory Shapes at Pyrotek, where I led a structured data analysis approach DMAIC to improve mechanical strength consistency. This involved defining key process inputs, conducting Measurement System Analysis (MSA), and implementing Design of Experiments (DOE) to optimize production parameters.
Predictive Modeling and Statistical Thinking in JMP Pro
SAS JMP Pro 18 Jan 2023 - Today
This project showcases the use of predictive modeling techniques in JMP to solve industrial challenges through statistical thinking. Various machine learning algorithms—like neural networks, support vector machines, and decision trees—were used to model quality data and predict product performance. The project emphasized the interpretation of model accuracy, variable importance, and visual output to make data-driven recommendations for process improvement.
Practical Data Science with Matlab Specialization
Mathworks Matlab Aug 2023 - Today
This project is based on a 4-course specialization focused on practical data science using MATLAB. I applied a complete data workflow—from importing, cleaning, and engineering data to training and evaluating machine learning models. Through real-world problems like flight delay prediction, the project strengthened my skills in data visualization, EDA, and predictive modeling using MATLAB’s integrated tools and apps.
