Benjamin Weil Email & Phone Number

California, United States

California, United States

Cupertino, California, Us

Irving, Texas, Us

Design and develop data science core tools and models for full product life cycle in python/SQLWork with IT to bring new data science tools and use cases to fruition, including participation in transfer of data sets from SQL server to HadoopCreate applications to identify and predict service level disruptions, including dashboards to support program and executive level decision-makingUsed SVM classifier machine learning algorithm to predict customer carve outsBuilt time series anomaly detector using statistical thresholds to identify downtrends, uptrends, and spikes in customer demandBuilt price index model and k-NN price-point-prediction model to understand competitor behavior and target pharmaceutical prices for specific customer groups and programsGenerated MAD and Local Outlier Factor model to clean external data of outliers and drive strategic pricing Prototyped demand forecasting algorithms using ensemble learners for demand management teamImplemented and engineered new data sets in SQL to improve data architectureManaged and maintained data science team linux VMs and code repository on bitbucket, perform code reviews and assist team members with code architecture and application design

Milpitas, Ca, Us

Build reporting, visualization, and analysis tools to support engineering, business, and manufacturing data analysis and strategy decisionsManage project to design and deploy new MES for pilot factoryProgram and deploy new MES features to improve factory efficiency Manage external vendor and oversee IT infrastructure upgrades to support data analytics, ERP, and MES implementationSetup SQL server and automated data import routines and applications enabling product tracking and performance analytics for multiple business groupsDesign and Implement product yield model, data architecture, and reports to support Master Production Schedule and Engineering product development Implement image processing applications for inline defect detection to enhance quality control

Fremont, Ca, Us

Develop etch processes and data automation programs for semiconductor device manufacturingCreated automated data storage system to facilitate project organization, data review, and data report generationRecognized by customer for process tuning that lead to uniform profile across 300mm waferReceived Lam Achievement Award for work ethic and exceeding expectations while delivering projects with strict timeline and resource constraintsDeveloped novel low-k dielectric etching process to improve dielectric reliability

Designed and advised on company data model implementationDeveloped processes to manage and analyze unstructured data and transform into a consumable file format for data analysisProgrammed and implemented software to automate analysis of battery test results and provide engineering reports to facilitate data presentations

Developed program to automate solar cell analysis by calculating device parameters from raw data and generating graphs for reportsInvented new process for making low-cost solar cells and researched novel solar cell materials and processing methodsDeveloped chemical precursor ink and sputtering process using new solar material containing only Cu, Sn, and S and fabricated >2% efficient solar cellSynthesized and characterized oxide and sulfide nanomaterials for electron and optical devicesOptimized metal and oxide sputtering process for use in thin film solar cellsAnalyzed the effect of heating and cooling on materials undergoing solid-state reactions to prevent formation of cracks and holes during growthBuilt and maintained rapid thermal heating systemOversaw safety of ~35 post-docs, graduate students, and undergraduates and trained new hires in proper chemical handling and equipment usageInitiated efforts to improve laboratory safety by creating new standardized training and documentation proceduresOrganized quarterly lab-cleanups and assigned chores to maintain clean and non-hazardous work environment

Designed software for an HP4285 LCR meter using GPIB and MATLAB to automate capacitance measurementsAutomated statistical analysis and regression fitting of organic field-effect transistor transfer curves using MATLAB and Excel to compare device properties and optimize fabrication proceduresDetermined that the morphological and structural changes that occur at metal-organic interfaces limit organic transistor performanceSynthesized and purified chemical precursors using Diels-Alder reaction, zone sublimation, distillation, and column chromatographyDeveloped solution process to grow high-k dielectrics for organic thin film transistors Supervised undergraduate researcher developing add-on modules to transistor statistical analysis package

Doctor Of Philosophy (Ph.D.), Materials Science And Engineering

M.S, Materials Science And Engineering

Bachelor Of Science (B.S.), Electrical Engineering And Computer Sciences (Eecs)

Bachelor Of Science (B.S.), Chemistry