Feb 2025 – Dec 2025 · 10 mos · San Francisco Bay Area · Remote

• Created blogs and social content that increased Nixtla’s LinkedIn follower growth by 57.5% with 5K average impressions per post.
• Spoke at PyData and two other major conferences, reaching 1K+ attendees and boosting brand recognition among data scientists.
• Improved documentation and SEO, achieving top-5 rankings for 10+ time-series keywords and driving sustained inbound traffic.
• Collaborated with the CEO to convert open-source users into TimeGPT customers through developer-first campaigns and strategic content funnels.

Jan 2024 – Jan 2025 · 1 yr · St Louis, Missouri, United States · Remote

• Designed and developed scalable data pipelines using Pyspark on Databricks, processing large datasets and achieving a 30% reduction in processing time.
• Utilized Terraform to create and manage Databricks assets, ensuring infrastructure-as-code (IaC) best practices.
• Created GitHub Actions to automate testing, deployment, and monitoring of data pipelines, resulting in a 40% reduction in manual intervention.

Apr 2023 – Jan 2024 · 9 mos · St Louis, Missouri, United States · Remote

• Designed 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 continuous improvement.

Dec 2022 – Feb 2023 · 2 mos · Washington DC-Baltimore Area

• Authored educational articles, videos, and structured documentation, resulting in improved early activation and user retention.
• Developed 7 end-to-end ML pipeline tutorials using Prefect, resulting in 1,000+ GitHub stars.
• Worked with product and engineering teams to develop integrations with 3 major ML frameworks, resulting in 20+ community contributions.
• Led developer community of 25,000+ members on Slack, resolving 50+ technical queries monthly and converting user feedback into 5 new product features

May 2022 – Dec 2022 · 7 mos · Washington DC-Baltimore Area

Sep 2021 – Dec 2022 · 1 yr 3 mos · United States

• 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.

May 2021 – May 2022 · 1 yr · St Louis, Missouri, United States

• 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.

Jan 2021 – May 2021 · 4 mos · San Francisco Bay Area

• 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.

Jun 2020 – Jan 2021 · 7 mos · Greater London, England, United Kingdom

• 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.

Apr 2020 – Jan 2021 · 9 mos · United States

Mar 2020 – Present · 6 yrs 2 mos · St Louis, Missouri, United States · Remote

Feb 2020 – Jun 2020 · 4 mos · Guanajuato, Mexico

• 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

Feb 2020 – Jun 2020 · 4 mos · St Louis, Missouri, United States

• Implemented data management solutions to resolve costly business challenges, utilizing Amazon RDS MySQL to ensure scalability, security, and reliability.
• Created a web application using Django to streamline data organization, significantly improving company productivity and efficiency.

Jan 2020 – Apr 2020 · 3 mos · United States

• Discuss with Dr. Andrew Trapp on the interface of mathematical programming and machine learning. Strategize on how to build a personalized scheduler app with the combination of integer programming and machine learning

Jan 2019 – Jan 2019 · 0 mo · Pittsburgh, PA

• Researched on different types of oscillatory’s spiral waves in three-dimensional media under the guidance of Dr. Bard Ermentrout

Oct 2018 – Apr 2020 · 1 yr 6 mos

• Research and collect 10-20 citations weekly for assigned cancer topic using PubMed and Google Scholar.
• Present abstract information with the standard outlined in ICAN’s Citation Primer.

Aug 2018 – May 2022 · 3 yrs 9 mos · Edwardsville, IL

• 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.

Aug 2018 – Jan 2020 · 1 yr 5 mos · Edwardsville, IL

• Formulated metaheuristic algorithm with Dr.Chew that can be used to train neural network to find combination of weights within acceptable time and reasonable computation cost
• Achieved 10-6 accuracy when tested on multidimensional functions

Aug 2018 – Dec 2018 · 4 mos · Edwardsville, IL

• Led a class of 60+ students from different learning backgrounds to master calculus knowledge.
• Devised strategic plans with other leaders and professors to deliver complex concepts in comprehensible ways

Jun 2018 – Jun 2020 · 2 yrs · Washington DC-Baltimore Area