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I have experience in data analysis using MATLAB, JMP, and Excel. My expertise spans image processing and large dataset analysis, particularly in the context of developing manufacturing processes for medical device assembly and process optimization.
Tools & Techniques
Tools & Techniques
MATLAB: Used for advanced data visualization, statistical analysis, and image processing.
JMP: Applied for statistical modeling and data-driven decision-making.
Excel: Utilized for data organization, pivot tables, and trend analysis.
Process Development at Gener8
Process Development at Gener8
At Gener8, I analyzed large datasets to optimize manufacturing processes. My work included:
Processing and interpreting extensive experimental data to refine production workflows.
Identifying key performance metrics and trends to drive process improvements.
Implementing data visualization techniques to communicate findings effectively.
Due to proprietary information, I am unable to share specific details of the work I did, but I gained hands-on experience running test parts before production, recording flow data, assessing laser and heat weld quality, conducting leak testing, performing weight measurements, and more.
Process Capability Studies & AQL Inspection
Process Capability Studies & AQL Inspection
Process Capability Studies:
Process Capability Studies:
Analyzing production data to assess stability and variation using Cp, Cpk, Pp, and Ppk indices.
Identifying improvement areas through control charts and data interpretation.
Recommending process adjustments to reduce variation and improve consistency.
AQL Inspection:
AQL Inspection:
Designing and executing AQL sampling plans to ensure production lots meet quality standards.
Inspecting random samples for critical dimensions and characteristics.
Evaluating sample acceptability based on AQL levels and documenting findings.
Engineering Drawings & Tolerance Adjustments:
Engineering Drawings & Tolerance Adjustments:
Creating detailed 2D and 3D drawings using CAD software to communicate design specifications.
Performing studies to validate and adjust tolerance ranges for manufacturability and assembly compatibility.
Collaborating with production teams to ensure cost-effective and achievable tolerances.
MircoVu High Precision Microscope used for AQL Inspections
While working on the Droplet Generator Project, I performed image processing tasks to analyze microfluidic droplet formation. This involved:
Developing scripts in MATLAB to process and analyze high-resolution images of droplets.
Extracting quantitative data such as droplet size distribution and generation frequency.
Identifying and mitigating inconsistencies in droplet formation through statistical analysis.
Impact
Impact
Through my data analysis experience, I have contributed to improving process efficiency, optimizing designs, and ensuring data-driven decision-making in engineering projects. My ability to extract meaningful insights from complex datasets has supported product development and process refinement.
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