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Laurence Samuelson Email & Phone Number

Professional Expert Instructor at San Mateo County Community College District
Location: San Jose, California, United States 5 work roles 2 schools
1 work email found @smccd.edu LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Role
Professional Expert Instructor
Location
San Jose, California, United States
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Who is Laurence Samuelson? Overview

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Quick answer

Laurence Samuelson is listed as Professional Expert Instructor at San Mateo County Community College District, a with 141 employees, based in San Jose, California, United States. AeroLeads shows a work email signal at smccd.edu and a matched LinkedIn profile for Laurence Samuelson.

Laurence Samuelson previously worked as Technologist at Western Digital and Principal Engineer at Hgst, A Western Digital Company. Laurence Samuelson holds Master Of Science (Ms), Mechanical Engineering from University Of Illinois Urbana-Champaign.

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{last}{first_initial}@smccd.edu
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Profile bio

About Laurence Samuelson

20+ years of engineering experience applying data analytics and data science skills to the creation of web-based tools, models, and visualizations resulting in improved product performance, manufacturing yields, and equipment throughput while simultaneously minimizing production costs. Created and led data analytics, data science, SQL, and statistics training curricula and courses for both industrial and academic audiences. Certified Lean Six Sigma Black Belt and Project Management Professional (PMP).

Listed skills include Failure Analysis, Design Of Experiments, Spc, Semiconductors, and 23 others.

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San Mateo County Community College District
San Mateo County Community College District
Professional Expert Instructor
san mateo, california, united states
Website
Employees
141
AeroLeads page
5 roles

Laurence Samuelson work experience

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Professional Expert Instructor

Current

Menlo Park, California, United States

IOT Big Data and Analytics Program (collaboration with Cisco Network Academy):• Designed the curriculum, syllabus, and classroom lessons for an 18 week introductory data analytics and data science course utilizing Jupyter notebooks running on individual student Raspberry Pi single board computers (https://canadacollege.edu/menloparksite/programs/DataAnalysis.php). • Wrote original content augmented by multiple sources for reference materials, examples, labs, and exercises, including: Python coding, computation libraries (Numpy, SciPy, Pandas), machine learning libraries (statsmodels, scikit-learn), visualization libraries (Matplotlib, Seaborn, Plotly, Folium), SQLite, and statistics topics including regression and residual analysis methods.• Adapted course materials and class examples to improve understanding based upon student responses and questions.• Provided guidance and help sessions to assist students with covered concepts, program debugging, and hardware configuration issues.• Led Zoom remote online class sessions and made recordings available to students offline.Business and Data Analytics Program (collaboration with Pathstream):• Conducted in person and remote online classes for more than 50 enrolled students over three separate cohorts. Graded weekly class projects and evaluated student performance, providing in-depth feedback, analysis, and recommendations. Provided individualized instruction and mentoring to accommodate varying student backgrounds and abilities: Held 1-on-1 and drop-in help sessions.• Content covered included business/data analytics fundamentals: stakeholder management, exploratory data analysis, data wrangling and cleaning using SQL (MySQL) and Google Sheets, visualization software (Tableau), and statistics subjects including descriptive methods, regression, and ANOVA.

Aug 2019 - Present

Technologist

San Jose, California, United States

Training/Mentoring:• Designed and led in-person SQL and database usage classes for hundreds of engineers and technicians at facilities in North America and Asia. Authored Intro, Intermediate, and Advanced level courses for DB2, MySQL, Redshift, and PostGRES databases. Customized sessions to utilize local in-house production data for all examples and exercises. Provided individualized problem consultation and mentoring.• Created and taught Intro to Machine Learning short courses. Basics: training/testing, bias/variance, supervised/unsupervised learning. Methods: regularization, classification/regression trees, gradient boosting.• Facilitated Lean Six Sigma Green Belt training covering regression, ANOVA, PCA, and DOE topics.Data Engineering:• Architected film deposition tool database storing over 21 billion records (1.5TB)/year which had been previously saved manually or discarded. Designed Python ETL program to capture streaming data, purge invalid entries, compress, and reformat records into key-value pair database tables. Built SQL views to pivot and aggregate data for analysis and SPC visualization, enabling improvements saving over $1.1M.Data Science / ML:• Built a wafer defect screening program using DbScan clustering, OpenCV Hough transforms, and tomography methods to inspect for non-random defect patterns. Designed Tibco Spotfire dashboard to visualize patterns and send engineering alerts resulting in a benefit of over $900K per year. Collaborated with logistics teams to integrate scanning algorithm into automated line control software for more than 38 product types across 174 inspections.• Spearheaded an effort to create a cloud based machine learning model evaluation tool used in over 25 engineering projects. Provided web based capabilities to upload data, perform feature selection, and build models utilizing 6 different machine learning algorithms. Scored and evaluated created models. Led training sessions using in-house case studies.

Principal Engineer

San Jose, Ca

• Diagnosed problems, identified sources of variance in manufacturing processes, and led worldwide engineering teams to reduce final test distribution variance by 75%. • Provided engineering support for yield improvement activities for final test and internal wafer processing. • Wrote DB2 SQL queries running unattended under automatic SAS control to summarize daily management yield reports.• Created and maintained a JavaScript based website yield management system identifying leading cost and cycle time detractors resulting in a doubling of wafer process first pass yields. • Provided guidance for engineering and management regarding statistical process control, design of experiments, data analysis, yield management, and process logistics using SAS, JMP, Excel, and custom written software.

Mar 2012 - Oct 2015

Senior Engineer

San Jose, Ca

• Oversaw all Hitachi hard disk drive manufacturing statistical process control activities.• Led and guided yield improvement teams at the Hitachi production facility in Guadalajara, Mexico, resulting in a 30% yield improvement.• Led the creation of the head manufacturing yield, statistical process control, and production parameters website enabling engineering teams to diagnose and correct production issues resulting in over $10M annual savings. • Defined and implemented variable and attribute based sampling plans and audits for key process and functional parameters.• Defined and conducted measurement systems analyses for key manufacturing processes.• Determined and evaluated design and processes experiments utilizing factorial and Taguchi DOE methods.

Jan 2003 - Mar 2012

Senior Engineer

Ibm

San Jose, Ca

• Product manager responsible for hard disk drive magnetic heads for 16 IBM products. Achieved all component and production delivery schedules, resource requirements, business cost and yield targets and test goals• Authored IBM Corporate Statistical Specification including an innovative risk sharing sampling approach. Received corporate funding to develop and implement this approach in production control programs. Adopted by all IBM disk file manufacturing sites.• Improved on-time component deliveries by writing and applying a statistically based Monte Carlo scheduling tool to identify critical paths and resource conflicts• Designed the magnetic head air bearings for 12 IBM disk file products. Wrote manufacturing specifications and managed migration to high volume production.• IBM Outstanding Technical Achievement Award• IBM Outstanding Achievement Award• IBM Leadership Symposium on Six Sigma Quality - Best Paper Award

Oct 1984 - Dec 2002
Team & coworkers

Colleagues at San Mateo County Community College District

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2 education records

Laurence Samuelson education

Bachelor Of Science (Bs), Mechanical Engineering

Activities and Societies: Alpha Phi Omega National Service Fraternity Tau Beta Pi Engineering Honor Society Phi Kappa Phi Honor Society

FAQ

Frequently asked questions about Laurence Samuelson

Quick answers generated from the profile data available on this page.

What company does Laurence Samuelson work for?

Laurence Samuelson works for San Mateo County Community College District.

What is Laurence Samuelson's role at San Mateo County Community College District?

Laurence Samuelson is listed as Professional Expert Instructor at San Mateo County Community College District.

What is Laurence Samuelson's email address?

AeroLeads has found 1 work email signal at @smccd.edu for Laurence Samuelson at San Mateo County Community College District.

Where is Laurence Samuelson based?

Laurence Samuelson is based in San Jose, California, United States while working with San Mateo County Community College District.

What companies has Laurence Samuelson worked for?

Laurence Samuelson has worked for San Mateo County Community College District, Western Digital, Hgst, A Western Digital Company, Hitachi, and Ibm.

Who are Laurence Samuelson's colleagues at San Mateo County Community College District?

Laurence Samuelson's colleagues at San Mateo County Community College District include Tonia B., Lisa Standridge, Kylie Chan, Charlie Tangeman, and Richard Wong.

How can I contact Laurence Samuelson?

You can use AeroLeads to view verified contact signals for Laurence Samuelson at San Mateo County Community College District, including work email, phone, and LinkedIn data when available.

What schools did Laurence Samuelson attend?

Laurence Samuelson holds Master Of Science (Ms), Mechanical Engineering from University Of Illinois Urbana-Champaign.

What skills is Laurence Samuelson known for?

Laurence Samuelson is listed with skills including Failure Analysis, Design Of Experiments, Spc, Semiconductors, Thin Films, Jmp, Manufacturing, and Process Engineering.

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