Lisa Stuart Email and Phone Number

• Created end-to-end Data Science and Machine Learning solutions using PySpark, SQL, and Python in Databricks environment.• Translated a legacy model from 200+ Databricks Notebooks to a modularized core of 3 and parallelized in Airflow to reduce run-time from 2 weeks to 2 days.• Developed Mentoring Program for budding Data Scientists which assisted them in a career change (several success stories).• Helped establish best practices for use of GitHub with Databricks, peer review process, ETLs, and ML model modularization.

Design, build and maintain ‘Practicing Machine Learning Interview Questions in Python’ an online course hosted on the DataCamp.com platformhttps://learn.datacamp.com/courses/practicing-machine-learning-interview-questions-in-python

• Create instructional materials for introduction to data science• Lead live class sessions (1 hour per week for active cohorts)• Facilitate students learning with latest tools, techniques, and methodologies

• Construct custom SQL scripts for Business Intelligence dashboards in Amazon QuickSight and Tableau• Lead Predictive Machine Learning Proof-of-Concept (POC) and subsequent Productionized ML project using Spark/EMR/Python scripting on Amazon platforms• Compose, continually improve and maintain DSP Big Data Team Wiki on w.amazon.com and demo to partner teams in SLS, Capacity Planning, et al in Amazon Last Mile• Create extract/load jobs in DataNet for data pipeline automation• Build a SIM Form template to facilitate streamlining of DSP Big Data ad-hoc requests and project intake

Applied Scientist II on the Process Innovation Team in Amazon Logistics:• Run Discrete Event Simulations for testing decoupling pick and stage processes, reducing aisle congestion, and in-aisle cart in delivery stations to deliver insights for process improvement• Create visualizations for RGU/DSP alignment to sort zones and staging locations distances to highlight areas of optimization

Data Scientist on the Risk Intelligence Team at Starbucks Support Center:• Build Machine Learning Pipeline using Azure• Create scripts in Azure Databricks Notebooks to automate data pulling, missing data imputation, and data scrubbing• Use ML Flow and Machine Learning Methods for Predictive Modeling• Save Predictive output to Azure SQL Data Warehouse• Create Tableau dashboard and Shiny app to provide decision-advantage to Starbucks leaders, allowing them to incorporate long-term forecasts into their business strategies and decision-making

• Lecturing and lesson planning on fundamental machine learning algorithms, statistics, toolsets, and their application for real world data • Creating in-class lab material in Python and leading lab sessions • Assisting students with developing scope and methodology of exploratory analysis, and research and development of individual capstone projects

Business Intelligence Manager on the Analytics Resource Management (ARM) team for Expedia:• Designing machine learning models in R for Member Only Deals (MODs) to predict where additional marketing is beneficial and where it is detrimental to Gross Profits at a market level• Creating complex custom SQL queries in Tableau for building, managing, and maintaining dashboards for Business Intelligence around Expedia’s MODs (Teradata and Hadoop), Concurrent Coupon Campaigns, and Coupon Errors (Amazon Redshift)

My role as a Strategic Marketing Analyst has me using SQL, Alteryx, Excel and R to analyze and visualize data, create reports and predictive models in order to inform business decisions and create targeted marketing initiatives.

I am the Data Science TA for students currently enrolled in the Microsoft Professional Program for Data Science. I answer any questions or help them with any issues as they proceed through any of the 14 available courses and final project: • Data Science Orientation• Querying Data with Transact-SQL• Analyze and Visualize Data with Excel• Analyze and Visualize Data with Power BI• Statistical Thinking for Data Science and Analytics• Introduction to R for Data Science• Introduction to Python for Data Science• Data Science Essentials• Principles of Machine Learning• Programming with R for Data Science• Programming with Python for Data Science• Applied Machine Learning• Implementing Predictive Analytics with Spark in HDInsight• Developing Intelligent Applications• The Data Science Challenge: Final Project

Process biological specimens following required protocols. Depending on how a specimen was obtained would dictate its path from the Cytology Lab to ultimately being read by a Cytotechnologist and/or Pathologist. Gynecological specimens were processed using the ThinPrep 2000 or the SurePath. Non-gynecological surgery specimens were processed by initially using a cytospin or centrifuge. Both gyn and non-gyns slides were then sent through a slide stainer and then a cover slipper. The gyn slides were then put on one of two slide imagers, depending on whether it was a ThinPrep or SurePath slide. Each instrument required daily as well as weekly and monthly maintenance as well as frequent trouble shooting. The stainer dyes and solutions were changed once a certain number of slides had been run through or when a set of slides that were positive for cancer cells to prevent potential cross-contamination of slides that followed.

Assisted Dr. Weir with two projects that he was working on: 1) Joint Match Probability of autosomal and Y-chromsomes in crime scene analysis and 2) High F-statistics (the statistically expected level of heterozygosity in a population) to indicate positive selection in populations.

I trained staff on AdvantEdge Software, reorganized bookkeeping and accounting, enhanced digital file management, implemented new financial management systems and procedures.

I trained new clients on AdvantEdge Software and provided on-going support once initial training has been completed. Originated and arranged training regimens and curriculums. Designed and produced CBT videos and walkthroughs for self-learning.

I managed the design, development, maintenance, and operation of seven Internet based sales portals: www.midnightfashions.com, www.howtoattractlove.com, www.silentsubliminals.com, www.pyramidbeads.com, www.attracting-love.com, www.attract-love.com. This includes: inventory control; shipping and receiving; managerial and financial accounting; advertising; sales; customer relations; website design, development, and maintenance; taxes; etc.