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

Susan Walsh - The Classification Guru

The Classification Guru Ltd

I love improving the quality of procurement spend data, giving teams clarity so they can make better business decisions and cost savings.

Why not let me take the pain out of laborious data issues and make your life easier?

Whether it's a small or large data set, the accuracy can be improved by identifying classification errors, conflicts or gaps. I can provide a data verification service to efficiently find and correct these in a fraction of the time it would take you or a team member.

And a crucial part of having accurate data is also working with a comprehensive taxonomy, something that can be easily overlooked. I can provide a taxonomy development service to ensure you have all the vital areas covered for the greatest visibility - job done!

If you struggle with the time, resources or willingness to tackle your data, why not get in touch to see how I can make your life easier.

Founder/MD (Mistress of Data)

I love improving the quality of procurement spend data, giving teams clarity so they can make better business decisions and cost savings.

Why not let me take the pain out of laborious data issues and make your life easier?

Whether it's a small or large data set, the accuracy can be improved by identifying classification errors, conflicts or gaps.  I can provide a data verification service to efficiently find and correct these in a fraction of the time it would take you or a team member.

And a crucial part of having accurate data is also working with a comprehensive taxonomy, something that can be easily overlooked.  I can provide a taxonomy development service to ensure you have all the vital areas covered for the greatest visibility - job done!

If you struggle with the time, resources or willingness to tackle your data, why not get in touch to see how I can make your life easier.

Data Collaboration Alliance

I am a member of the Advisory Committee at the Data Collaboration Alliance, a nonprofit organization that’s dedicated to establishing CONTROL as the basis for meaningful Data Ownership and global Collaborative Intelligence. Our approach of eliminating data silos and copy-based data integration is similar to how societies already protect the value of their currency, identities, and intellectual property - and it works for data, too. My fellow advisors include the Executive Director of the Mozilla Foundation and the ex-CIO of Dropbox. I'm also a contributor to the Data Collaboration Community which offers open datasets, free tools, and free training in the data-centric skills of the future. Visit: https://www.datacollaboration.org/community

Advisory Committee / Instructor

Facet Publishing

Dirty data is a problem that costs businesses thousands, if not millions, every year. In organisations large and small across the globe you will hear talk of data quality issues. What you will rarely hear about is the consequences or how to fix it.

Between the Spreadsheets: Classifying and Fixing Dirty Data draws on classification expert Susan Walsh's decade of experience in data classification to present a fool-proof method for cleaning and classifying your data. The book covers everything from the very basics of data classification to normalisation, taxonomies and presents the author's proven COAT methodology, helping ensure an organisation's data is Consistent, Organised, Accurate and Trustworthy. A series of data horror stories outlines what can go wrong in managing data, and if it does, how it can be fixed.

After reading this book, regardless of your level of experience, not only will you be able to work with your data more efficiently, but you will also understand the impact the work you do with it has, and how it affects the rest of the organisation.

Written in an engaging and highly practical manner, Between the Spreadsheets gives readers of all levels a deep understanding of the dangers of dirty data and the confidence and skills to work more efficiently and effectively with it.

Author - Between the Spreadsheets

CONSTELLIA LIMITED

Connecting Professional Services Procurement people to the Consultancy Procurement Council

Membership Manager

Simfoni

+ Lead spend analytics project delivery across Europe & Middle East
+ Project Implementation​
+ Delivery of product demos
+ Development and delivery of training for Analytics team
+ Product development support
+ Spend analytics
+ Taxonomy development​

Senior Analytics Project Lead - Europe & Middle East

Highways England

Project Support Officer

Philips

Data Verification

+	Administration of product database
+	Working with cross functional teams to resolve issues
+	Develop and deliver training for business hubs to improve processes

Data Product Researcher

Coupa Software

+	Project managing multiple projects simultaneously ensuring all were delivered within time and on budget
+	Management of a team of 14 QA staff
+	Developed and implemented training plan and best practice documents
+	Recruit and train new staff
+	Ensuring consistent quality of work  produced by team

QA Manager

Spend360

+	QA, classification and review of data
+	Excellent attention to detail
+	Managing workload to tight deadlines

Data Services -QA

Fixer of dirty data ★ Spend data classification, supplier normalisation, and taxonomies ★ DataIQ100 x 2 ★DataIQ Data Champion 2022★ Author "Between the Spreadsheets" ★ Creator of COAT ★ TEDx - say NO to NO ★ DataVenger

Are you struggling to get reliable insights from your data?  Do you have duplicates, multiple versions of the same supplier or customer, and multiple date and address formats?  And is it saved in multiple different systems?

The Classification Guru can help.

If you’re in procurement, do you find it hard to see how much you are really spending with one supplier, and on what?  Have you got free text descriptions which mean you have multiple versions of the same item, often misspelt and not against the correct GL or categorisation? How can you make the best negotiations with your suppliers, the biggest cost savings, or manage your supplier list if you don’t have the correct information?

Or if you work in sales or marketing, is your CRM full of junk data, poorly formatted and even missing information, and maybe saved in multiple different systems?  Your team could be wasting time contacting redundant leads, or worse you could be sending out expensive print out to the same address twice, or addresses that don’t even exist.

We bring clarity and accuracy to data and help teams work more effectively and efficiently, finding cost savings through spend and time management, supporting better, more informed business decisions, delivering a strong ROI and delivering back to your organisation faster and more cost-effectively than using large consultancies or spend analytics providers.

While most people dread having to classify or cleanse data, my team and I love it! We are hugely passionate about providing clients with accurate and meaningful data, and because I have been doing this for a decade, I can do this much faster and more accurately than people who might look at their data infrequently.

We can help prevent costly mistakes from happening.

There are many solutions available to automate data classification, but these are never 100% accurate. I've developed a method that my team use to efficiently and accurately classify, cleanse and verify data to minimise the errors in the same amount of time.

When working with large volumes of data it's hard to spot these errors even if you know what you're looking for and especially in Excel, let alone if you don't. With my team and I’s knowledge, experience and tools we can do this for you, freeing up your internal resources.

Fix your dirty data now - www.theclassificationguru.com

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Sarah Floris, MS

Susan Walsh - The Classification Guru

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