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

Accenture

Ocelot Consulting

• Designed and orchestrate a robust data ingestion pipeline to efficiently pull over 50 million records of data from Teradata and Oracle databases into an S3 bucket.
• Built a scalable MLOps pipeline using Amazon SageMaker, which involves data preparation, model training, deployment, and monitoring.
• Implemented monitoring and logging mechanisms to track model performance, system health, and data quality, enabling proactive troubleshooting and continuous improvement.

MLOps Engineer

Prefect

• Assisted over 50 data engineers and data scientists in building efficient data pipelines that incorporated best engineering practices and tools. 
• Wrote and tested Python code that met 90%+ unit test pass rates, resulting in a more reliable product and increased customer satisfaction.
• Collaborated with cross-functional teams to define software requirements that fulfill customer needs, resulting in a 10% decrease in development time.

Developer Experience Engineer

Developer Advocate

NVIDIA

I write articles related to data science on NVIDIA Developer Blog once per month to spread awareness on data science tools and best data science practices.

Technical Writer

Freight Science

• Built an end-to-end data science pipeline that streamlines data validation, data processing, machine learning training, monitoring, and output visualization.
• Wrote concise and modular code for data workflows, complete with unit tests, resulting in improved accuracy and reproducibility of experimental outcomes.
• Collaborated with stakeholders to deconstruct the business objectives into actionable hypotheses, improving decision-making and driving positive outcomes.

SIUE Tutoring Resource Center

• Guided more than ten students to get from C to A grades in statistics and mathematics courses within two months. 
• Provide small group tutoring sessions in subjects including Algebra, Calculus, Geometry, Statistics, and Probability.

Math and Statistics Tutor

Workera

• Design and implement 100+ Python-based assessments for data scientists and data engineers.
• Focus on evaluating the knowledge of Python functions, classes, variables, and best practices for OOP in the assessments.

Python Assessment Developer

Datapane

• Boosted monthly views by 1200+ by creating engaging example analyses and templates in Datapane's documentation and gallery.
• Developed compelling data science content and examples.
• Collaborated with domain experts, data scientists, and backend engineers to create innovative features for Datapane.

Data Science Evangelist

Saturn Cloud

Contributor

Universidad de Guanajuato

Collaborative research with Dr. Adrián Pastor López in predicting the author’s gender and language variety by processing raw Twitter data, applying NLTK, Scikit-learn, and experimenting with different NLP models. https://github.com/khuyentran1401/Twitter

Undergraduate Research Assistant

I love exploring and sharing data tools that empower data scientists to work more productively. Subscribe to my newsletter at https://codecut.ai/

Khuyen Tran

Remove image backgrounds locally in 2 lines of Python code 🪄

Removing backgrounds from images typically requires Photoshop, online tools, or AI assistants like ChatGPT.

But these options come with subscription costs, upload limits, or privacy concerns with your images on external servers.

Rembg uses AI models to remove backgrounds locally with just 2 lines of Python.

Plus, Rembg is open source! Install it with "pip install rembg". 

☕️ Run this code: https://bit.ly/48lIIWc
🔗 Link to the repo: https://bit.ly/4ofG9Lj 

#Python #MachineLearning #ImageProcessing #DataScience

Author of Production-Ready Data Science | DevRel @ Nixtla

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The Battle

Sarah Floris, MS

Khuyen Tran

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Khuyen Tran's LinkedIn Performance

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