Pura

Senior Data Engineer

Dutch Engineer

I can write blog posts, LinkedIn posts, demos, or share advice about your data or machine learning infrastructure.

Founder

EcZachly Inc

Instructor and Lead Teacher Assistant

Zwift

Build long-term roadmaps for machine learning platform and code best practices for the data science team
Orchestrated the implementation of DBT to build data lineage and shorten debugging time by 30%
Deployed XGBoost models to identify customers who will might or not subscribe in free trials. 
Lead a team to provide the best short-term and long-term solutions to reduce service downtime by 50%
Own e-commerce datasets to lower handle data quality, data contracts, and resolve pipelines downtime
Tools: AWS, Kafka, Python, Docker, Kubernetes, Scala, Spark, SQL, Airflow, Jenkins,  DBT

Senior Data and ML Platform Engineer

Clinical Trial Media

Documented technical specifications of workflows to be presented to stakeholders and executive team
Automated and optimized existing workflows using Prefect and dbt to adhere to best practices
Tools: DBT, Prefect, Azure, Azure Data Factory, Python, SQL, Tableau Server, Docker

Qumulo

Lead migration of on-premise pipelines to cloud capable of handling 210+ GB per day
Produce key metrics to counsel sales and engineering and drive product feature decisions
Integrate linters, tests, and CICD to improve Data Science code quality 
Tools: AWS, Redshift, S3, Postgresql, Pyspark, Fargate, Python, Gitlab CICD, SQL, MongoDB, Tableau

Data Scientist

Blueprint Technologies

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 request
Productionalize Decision Tree and Logistic Regression to prioritize likely buyers
Optimize SQL and PowerShell scripts to reduce running script from 3 days to 15 minutes.

Tools: Azure Databricks, Python, Plotly, PowerShell, C#, COSMOS, SQL

Data Engineer

Redapt Inc

Migrating Hadoop cluster on VMs to Google Cloud Platform's Dataproc cluster
Importing, cleaning, and visualizing data in Power BI dashboards
Building 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

Build a python script to obtain Zendesk's data via its RESTful API for marketing reports
Redesigned 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

Online Tutoring and Data Analysis

Projects

ILest: Ionic Liquid estimation Tool
Team 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 applications
Tools: scikit-learn, Pandas, RDKit, Matplotlib

Data-Driven Design of Perovskite
Team 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, Matplotlib

Stack 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, SQL

How Much Will Your Videogame Sell For? 
Web scraping video game tweets and statistics from VGChartz to predict their unit sales using machine learning
Tools: BeautifulSoup, Matploblib, multiprocessing, requests, plotly

Twitter Scraping Tool
Web-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

Senior Data & ML Platform Engineer | dutchengineer.substack.com | Host of Ask A Data Mentor Podcast

Built long-term roadmaps for data platform and machine learning platform
Experience in designing, analyzing, and visualizing large (>500 TB) datasets 
Build and manage multiple ETL infrastructures to identify text patterns and detect network and hardware anomalies
Prepare critical metrics to guide product decisions in people, healthcare, computer games, and chemical analytics
Multilingual (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

Data Science Career Services (Up Level Data, LLC)

Wrote and Published: Confident Data Science: Discover the Essential Skills of Data Science.

Ask me about private one-to-one, individual, custom data science bootcamp programs.

Author

Primarily offering is a private one-to-one, individual, custom and group data science training programs.

- Lead the creation of technical and non-technical content for cross-product verticals, including Professional & Industry Certificates, Short Courses, and MOOCs. 
- Review and maintain product catalogue of internal and partner owned curricula in your domain of expertise, identifying areas of opportunity, product refreshes, and new product areas.
- Serve as internal subject matter expert for reviewing external products and content for catalogue fit; Act as principal subject-matter expert in the fields of data analytics, data science, machine learning, and generative AI and emerging topics in those fields. 
- Leverage external relationships to support development of new products.
- Effectively communicate requirements to internal or external teams responsible for content development to ensure all courses are developed to the highest standard of quality and meet agreed-upon requirements.
- Define workflows, processes, and standards for developing high quality curricula and identify efficiencies between content, service, and product offerings.

Chief Data Scientist

Wrote & Published: How to Become a Data Scientist: A Guide for Established Professionals

If you are looking to learn data science, make sure to ask about private, boutique, individual, one-to-one bootcamp programs

University of Wisconsin-Madison

When your alma mater calls, you don't just say "no"...

- Act as a campus subject-matter expert in the fields of data analytics, data science, machine learning, and generative AI along with emerging topics in these fields.
- Lead the creating of technical and non-technical educational materials (content) for learners at all levels of study.
- Research technology trends and new tools, continuously revise and update educational materials (content) to meet student, market, and learner demands.
- Provide expert guidance and instruction on content and technology best practices in the fields of data analytics, data science, machine learning, generative AI, and emerging topics.
- Collaborate with internal teams and external partners on high-level design choices for the knowledge, skills, and abilities that will be taught in each curriculum.
- Work with internal teams, learners and industry experts to conceive of and collaborate on new ideas for enhancing student learning outcomes.
- Maintain quality of curriculum to meet product requirements and student needs via data-driven revisions and product enhancements.

Teaching Professor, Data Science, Statistics, Python

Association for Institutional Research

- Work with internal teams, learners and industry experts to conceive of and collaborate on new ideas for enhancing research program outcomes.
-Provide strategic guidance to research team members and contributors on new content development, based on knowledge of emerging trends in research design.

National Center for Education Statistics

Common App

Guidehouse

Data Science and Data Governance Senior Consultant

Honorary Associate Fellow

Sr Divisional Policy Advisor

Investigate complex, sensitive, and high-profile discrimination complaints filed with the University of Wisconsin-Madison Office of Compliance by University employees, including faculty, academic and University staff’ applicants for employment’ students; applicants for admission; and visitors to campus alleging discrimination by the University or by an employee of the University.

Interim Special Investigator Office of Compliance

Marquette University

Adjunct Faculty

University of Louisville

East Carolina University

Supervised of a conduct coordinator, residence life coordinators, office manager, graduate assistants, and student staff. Monitored performance of 13 other residence hall staff for compliance with applicable university policy or local, state, and federal law.  Specializing in policy development for student conduct and campus operations.

Oversaw administration for approximately 1,500 violations of student conduct policies involving approximately 2,250 students annually throughout 15 residence halls. 

Supervised intensive academic intervention and recovery program for students referred to the student conduct process.  Initiated this program Fall of 2012.  Program includes one-to-one mentorship, group enrichment activities, parent/family initiatives, faculty collaboration, life-skills training, personality typing, learning style assessments, dedicated study halls, and other services.

Student Affairs Administration (Associate Director)

Student Affairs Administration (Assistant Director)

Duke University Talent Identification Program

Supervise a staff of three masters required and multiple other masters optional positions.  Responsible for staff training, development, learning, growth, and productivity.

Also, designed and taught courses on law and policy.  Three week civil trial advocacy course, Summer of 2008.  Weekend trial advocacy course, October 2009 and November 2010. Weekend constitutional law, March 2009, October 2011, and March 2012.

Instructor & Director

Ask about data science career services @ Coaching.AdamRossNelson.com

I help other current and aspiring data professionals enter and level up in the field by uncovering & showcasing their existing data-related talents.

As a Data Scientist who transitioned into this work late in my career, I have a passion for helping others make this same transition.

Since early 2021 I have leveraged my expertise in data & AI and my passion for training to develop a full range of learning offerings for corporate clients across many industries. My role involves understanding learner personas and training needs, owning the design and scoping of technical curriculum, and using feedback loops and data to inform and prioritize training investments.

•	Authored two books in the field of data science, available wherever books are sold.
•	An advanced degree in an analytical field (quantitative research in policy analysis).
•	Experience managing and coordinating with internal and external stakeholders.

Recent clients include Data Society, Texas A&M, DataWorks Partners, IES National Center for Educational Sciences, Foreign Service Institute, Association for Institutional Research, Hearst Media/Health/Logistics, Pfizer, Booz Allen Hamilton, City of Dallas, Skillsoft, Congressional Research Service, Lockheed Martin, IQVIA, and Nationale-Nederlanden Bank + Insurance.

taplio

The Battle

Sarah Floris, MS

Adam Ross Nelson, 📊 Data Science Career Services

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