Sustaining existing data infrastructure and transitioning to cloud/server-less platforms to improve production velocity on Intel's newest manufacturing line. Primary skills used: SQL Server, T-SQL, Snowflake, Python, PowerBI.Current projects:1) Developing new suite of metrics & indicators for Intel's next-generation die-stacking manufacturing line2) Building the manufacturing org's first serverless/cloud data infrastructure with Snowflake/AWS to provide scalability and… Show more Sustaining existing data infrastructure and transitioning to cloud/server-less platforms to improve production velocity on Intel's newest manufacturing line. Primary skills used: SQL Server, T-SQL, Snowflake, Python, PowerBI.Current projects:1) Developing new suite of metrics & indicators for Intel's next-generation die-stacking manufacturing line2) Building the manufacturing org's first serverless/cloud data infrastructure with Snowflake/AWS to provide scalability and reduce IT overhead3) Training global team of engineers (US, EU, and Malaysia) on writing queries, building reports and data best-practices. Show less

Provided data analytics needed to solve problems in R&D, Operations, Business for a Start-Up within Intel. Primary skills used: Python, R, SQL, Spark, Machine Learning, PowerBI, TableauMajor wins include:1) Eliminated a tedious analyst workflow by automating manually-done image comparison in Python, slashing time-to-data for R&D efforts by 90% (days to minutes)2) Created dashboards with SQL Server and PowerBI to track the start-up's key indicators (KPIs) in areas of quality,… Show more Provided data analytics needed to solve problems in R&D, Operations, Business for a Start-Up within Intel. Primary skills used: Python, R, SQL, Spark, Machine Learning, PowerBI, TableauMajor wins include:1) Eliminated a tedious analyst workflow by automating manually-done image comparison in Python, slashing time-to-data for R&D efforts by 90% (days to minutes)2) Created dashboards with SQL Server and PowerBI to track the start-up's key indicators (KPIs) in areas of quality, operations, and cost. Collected executive feedback to measure performance - one highlight from an operations manager: "This is saving me an enormous amount of time"3) Built ETLs with SQL, Spark, Python, TensorFlow to enable root-cause analysis of production issues, with some pipelines processed 10GB+ of data and resolving >$50M quality excursions. Show less

Used data analysis to find cost reduction opportunities on one of Intel's longest-running production lines. Primary skills used: DOE, Statistical Analysis, Python, R, Excel, JMP, and SQL.Major wins include:1) Created an automated system with Python (based on response-surface method) for adjustment of equipment settings, saving 100hr/month of technician labor and reduced equipment downtime by 25% for a factory bottleneck.2) Identified vibration as a reliable leading indicator… Show more Used data analysis to find cost reduction opportunities on one of Intel's longest-running production lines. Primary skills used: DOE, Statistical Analysis, Python, R, Excel, JMP, and SQL.Major wins include:1) Created an automated system with Python (based on response-surface method) for adjustment of equipment settings, saving 100hr/month of technician labor and reduced equipment downtime by 25% for a factory bottleneck.2) Identified vibration as a reliable leading indicator of component failures in older equipment. Led the data collection & cleaning aspect of a vibration sensor installation program which resulted in a >$20M cost savings in first year of full implementation.3) Created and taught 2 new courses monthly for new engineers at Intel, focused on database querying (SQL), data visualization (JMP), and statistical analysis (descriptive analysis, t-tests, and more). Highly rated by more than 250 students! Show less

Worked on a number of research projects at Drexel University over five years.Senior Capstone (1 year): Developed method to fluorinate oxide materials to improve capacity retention in lithium-ion batteries. Characterized materials for structural, compositional, and electrochemical changes.Graduate Research (1.5 years): Designed and tested cell-sorting BioMEMS devices. Used photolithography, plasma, EBPVD, wet etching, and more to create features down to 2… Show more Worked on a number of research projects at Drexel University over five years.Senior Capstone (1 year): Developed method to fluorinate oxide materials to improve capacity retention in lithium-ion batteries. Characterized materials for structural, compositional, and electrochemical changes.Graduate Research (1.5 years): Designed and tested cell-sorting BioMEMS devices. Used photolithography, plasma, EBPVD, wet etching, and more to create features down to 2 microns.Undergraduate Research (6 months): Developed tunable process for fluorination of thin-film perovskites that allows altering of optical, electrical, and magnetic properties. Paper published in APL Materials.Undergraduate Research (6 months): Built framework for database of materials properties used to model frequency-doubling/second harmonic generation phenomenon. Show less

Through my second co-op, I worked on a number of projects in the Materials Science research group aimed at characterizing excipients - the materials used to assure drugs remain stable and are delivered to the right part of the body.-Designed experiments to evaluate phase transitions of multiple excipients.-Characterized excipients with thermal analysis (DSC, TGA) and microscopy (AFM, PLM).-Examined crystallinity of Active Pharmaceutical Ingredients (API) and inactive ingredients… Show more Through my second co-op, I worked on a number of projects in the Materials Science research group aimed at characterizing excipients - the materials used to assure drugs remain stable and are delivered to the right part of the body.-Designed experiments to evaluate phase transitions of multiple excipients.-Characterized excipients with thermal analysis (DSC, TGA) and microscopy (AFM, PLM).-Examined crystallinity of Active Pharmaceutical Ingredients (API) and inactive ingredients through diffraction (XRD).-Applied spectroscopic techniques (Raman, FTIR) to determine bonding and composition in API-excipient solutions. Show less

For my first co-op, I worked with customers in many areas of manufacturing to assist them in their automation needs. When I wasn't busy supporting clients, I was working on various projects to optimize efficiency within the Application Engineering department. -Consulted for customers on automation of manufacturing processes using ifm's sensors-Designed modules to provide hands-on training to sales employees on wiring and using ifm sensors-Programmed an automated, self-updating… Show more For my first co-op, I worked with customers in many areas of manufacturing to assist them in their automation needs. When I wasn't busy supporting clients, I was working on various projects to optimize efficiency within the Application Engineering department. -Consulted for customers on automation of manufacturing processes using ifm's sensors-Designed modules to provide hands-on training to sales employees on wiring and using ifm sensors-Programmed an automated, self-updating database of all ifm parts, using Python and MS Access-Designed and installed new laboratory space and managed transition of lab equipment to new office. Show less