Sarah Floris, Ms

Sarah Floris, Ms Email and Phone Number

Senior MLOps Engineer @ EquipmentShare
Kirkland, WA, US
Sarah Floris, Ms's Location
Greater Seattle Area, United States, United States
Sarah Floris, Ms's Contact Details

Sarah Floris, Ms personal email

n/a
About Sarah Floris, Ms

Built long-term roadmaps for data platform and machine learning platformExperience in designing, analyzing, and visualizing large (>500 TB) datasets Build and manage multiple ETL infrastructures to identify text patterns and detect network and hardware anomaliesPrepare critical metrics to guide product decisions in people, healthcare, computer games, and chemical analyticsMultilingual (Dutch, English, Spanish)Keywords: Airflow, AWS (Cloudwatch, ECS, EKS, Fargate, Glue, Redshift, Kinesis, Databricks, Postgresql, S3), Azure (Azure Functions, Azure ML Studio, Databricks, PowerBI, SQL Server), BentoML, C++, Datadog, Docker, ElasticSearch, Flink, Kafka, Keras, Kubernetes, Hive, High Performance Computing, Github Actions, Gitlab CICD, Pagerduty, PowerBI, Prefect, Python (DBT, Numpy, Pydantic, Sklearn,Scipy), Pyspark, Neural Network, Natural Language Processing, MLFlow, MongoDB, Recommendations, Sagemaker, Scala, SparkML, SQL, Tableau, Terraform

Sarah Floris, Ms's Current Company Details
EquipmentShare

Equipmentshare

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Senior MLOps Engineer
Kirkland, WA, US
Employees:
3486
Sarah Floris, Ms Work Experience Details
  • Equipmentshare
    Senior Mlops Engineer
    Equipmentshare
    Kirkland, Wa, Us
  • Basejump Ai
    Advisor
    Basejump Ai Nov 2024 - Present
  • Equipmentshare
    Senior Mlops Engineer
    Equipmentshare Jun 2024 - Present
    Columbia, Missouri, Us
  • Dutch Engineer
    Founder
    Dutch Engineer Jan 2022 - Present
    Bellevue, Washington, Us
    I can write blog posts, LinkedIn posts, demos, or share advice about your data or machine learning infrastructure.
  • Eczachly Inc
    Instructor And Lead Teacher Assistant
    Eczachly Inc Mar 2023 - Jun 2024
    San Francisco, California, Us
  • Zwift
    Senior Data And Ml Engineer
    Zwift Apr 2022 - Feb 2024
    Ca, Us
    Delivered the machine learning strategy to the entire company and C-level executives, ensuring alignment on organizational goals.Created and implemented a comprehensive machine learning operations roadmap, incorporating valuable feedback from product management and data science teams, which garnered strong company-wide support.Evaluated machine learning platforms and successfully rolled out Databricks across the data organization, reducing time to deployment by 4xCollaborate cross-functionally with software engineers, product managers, data scientists, and data engineers to deploy a real-time racing score model that processes 8,640,000 inferences per day for Zwift’s racing app that replaced the previous A-D system Implemented XGBoost pipelines to effectively target prospects, identify churn risks, and prioritize feature development based on those insightsLed data engineering team in implementing DBT by identifying core tables for analytics Guided the organization in optimizing SQL queries and managing queues in Redshift, resulting in a significant reduction of SQL query times from an average of 6 minutes to under 1 minuteTools: AWS, Python, Docker, Spark (Pyspark on Databricks and Scala on Kubernetes), SQL, Airflow, Jenkins, Hive, DBT
  • Clinical Trial Media
    Senior Data Engineer
    Clinical Trial Media Jan 2022 - Mar 2022
    Hauppauge, New York, Us
    Presented data flow technical specifications to the engineering leaders and c-executive team Optimized workflows using Prefect and DBT to adhere to best practices and reduce costs by 80%Upgraded and managed Tableau Server to minimize security risks and remove consultancy dependency, saving the company $100,000Tools: DBT, Prefect, Azure, Azure Data Factory, Python, SQL, Tableau Server, Docker
  • Qumulo
    Data Scientist
    Qumulo Dec 2020 - Jan 2022
    Seattle, Wa, Us
    Produced key metrics from 2 PB+ of data to counsel sales and drive product feature decisions, broadcasted via a weekly email and showcased in home-grown visualization toolLead migration of on-premises stream pipelines to cloud-capable of handling 210+ GB/day JSONIntegrated linters, tests, and CICD that makes the code accessible to all teams, automating pipeline deployments to less than 5 minutesTools: AWS, Redshift, S3, Postgresql, Pyspark, Fargate, Python, Gitlab CICD, SQL, MongoDB, Tableau
  • Blueprint Technologies
    Data Engineer
    Blueprint Technologies May 2019 - Dec 2020
    Bellevue, Washington, Us
    Created 30,000 customers’ metric sheets that calculated employees behavior for 1.5 months before and 1.5 months after covid and presented to the c-executive suite of the F500 company Developed daily pipelines with >500 TB that build employee behavior metric sheets on requestProductionalize Decision Tree and Logistic Regression to prioritize likely buyersOptimize SQL and PowerShell scripts to reduce running script from 3 days to 15 minutes.Tools: Azure Databricks, Python, Plotly, PowerShell, C#, COSMOS, SQL
  • Redapt Inc
    Data Scientist
    Redapt Inc Jul 2018 - May 2019
    Woodinville, Washington, Us
    Migrating Hadoop cluster on VMs to Google Cloud Platform's Dataproc clusterImporting, cleaning, and visualizing data in Power BI dashboardsBuilding a storage infrastructure system to identify frequent patterns and errors Incorporating Machine Learning algorithms to recommend new items for over a million items and for several thousands of customers. Tools: Hadoop, Kafka, Airflow, Spark, Power BI, Azure Databricks, Azure ML Studio, Azure Blob Storage
  • Apex Learning
    Online Tutoring And Data Analysis
    Apex Learning Jan 2018 - Jul 2018
    Build a python script to obtain Zendesk's data via its RESTful API for marketing reportsRedesigned monthly and yearly reports by incorporating Tableau Software to evaluate tutors’ performance Implement Salesforce.com to create an easily accessible school’s credit acceptance database for marketing campaigns Support middle and high school students’ through the Apex Learning Virtual School curriculum
  • Projects
    Projects
    Projects Jan 2017 - Jul 2018
    ILest: Ionic Liquid estimation ToolTeam project, Implemented LASSO, SVR, and MLP-Regressor on 10,000 data points to estimate the desired properties of ionic liquid binary mixtures for electric battery applicationsTools: scikit-learn, Pandas, RDKit, MatplotlibData-Driven Design of PerovskiteTeam Project, Carried out LASSO, and supervised neural networks on a reduced data set to identify the optimal combination of elements in the hybrid organic perovskites (crystals)Tools: scikit-learn, Pandas, RDKit, MatplotlibStack Overflow: Suggest a Tag for My Post Please Queried 150k posts and users details to determine tags needed based upon a posts' body or score.Tools: PySpark, Neo4j, Plotly, Python, Cypher, SQLHow Much Will Your Videogame Sell For? Web scraping video game tweets and statistics from VGChartz to predict their unit sales using machine learningTools: BeautifulSoup, Matploblib, multiprocessing, requests, plotlyTwitter Scraping ToolWeb-scraped old tweets from the twitter page to eliminate the usage of the Twitter Official API and decrease the time needed by 60%. Tools: pyquery, requests, datetime
  • University Of Washington
    Graduate Research Assistant
    University Of Washington Jul 2016 - Jan 2018
    Seattle, Wa, Us
    Advisor: Prof. Anne McCoyI investigated the hydrogen bonding in the benzene-water complex, create potential energy and dipole moment surfaces by interpolating in Python, diagonalize full, sparse matrices to obtain eigenvalues or total energies of the system using Fortran, and articulated my research to graduate and undergraduate students.
  • University Of Utah
    Research Assistant In Theoretical Chemistry
    University Of Utah Jun 2015 - May 2016
    Advisor: Prof. Ryan SteeleI analyzed the proton transfer in [(H2S)(H2O)]+. I wrote a Monte Carlo program in c++ to calculate electronic properties of isomer structures, and scripted in perl to integrate program with the calculated energies from electronic structure package.
  • Abilene Christian University
    Research Assistant
    Abilene Christian University Jun 2013 - Oct 2015
    Abilene, Tx, Us
    Advisor: Prof. Gregory PowellI synthesized novel diosmium metal clusters utilizing a microwave reactor, identified functional groups by performing infrared spectroscopy, crystallized these complexes to determine the structure.
  • Radiation Oncology Department At Md Anderson Cancer Center
    Research Assistant
    Radiation Oncology Department At Md Anderson Cancer Center Jun 2014 - Aug 2014
    Advisor: Dr. David Fuller I was able to asses patients'​ mental state by using a Telephone Interview for Cognitive Status survey. Then, I evaluated patients' MRI and CAT scans to see any morphological changes using Pinnacle and Oracle. The goal was to find a correlation between these changes, if any, with sleep apnea and sleep apnea-like symptoms.

Sarah Floris, Ms Skills

Python Machine Learning Spark Research Chemistry Data Analysis Editing Statistics C++ Sql Teamwork Mathematica Powerpoint Git Microsoft Office Cultural Awareness Mathematics Bash Leadership Teaching Social Media Microsoft Word Microsoft Excel Tableau Linux Databases

Sarah Floris, Ms Education Details

  • University Of Washington
    University Of Washington
    Physical Chemistry (Theoretical And Computational Chemistry)
  • Abilene Christian University
    Abilene Christian University
    Chemistry (American Chemical Society Track)

Frequently Asked Questions about Sarah Floris, Ms

What company does Sarah Floris, Ms work for?

Sarah Floris, Ms works for Equipmentshare

What is Sarah Floris, Ms's role at the current company?

Sarah Floris, Ms's current role is Senior MLOps Engineer.

What is Sarah Floris, Ms's email address?

Sarah Floris, Ms's email address is sa****@****pcs.com

What schools did Sarah Floris, Ms attend?

Sarah Floris, Ms attended University Of Washington, Abilene Christian University.

What are some of Sarah Floris, Ms's interests?

Sarah Floris, Ms has interest in Animal Welfare, Education, Science And Technology.

What skills is Sarah Floris, Ms known for?

Sarah Floris, Ms has skills like Python, Machine Learning, Spark, Research, Chemistry, Data Analysis, Editing, Statistics, C++, Sql, Teamwork, Mathematica.

Who are Sarah Floris, Ms's colleagues?

Sarah Floris, Ms's colleagues are Tori Baum, Lee Ashcraft, Jennifer Hoffman, Erin Witman, M.ed, Sarah Clark, Matthew Schnieders, Blake Pearson.

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