Data Scientist

• Aug 2019 - Present

Data Science Fellow

• Jan 2019 - Apr 2019

Machine Learning Engineering Intern

• May 2018 - Dec 2018

- Created a AWS Lambda metric processor to record the metrics of API requests called per model (AWS | Python) - Coordinating agile sprints with team members and delivered per iteration - Used infrastructure as code for deployment of lambda infrastructure (Terraform | Terragrunt) - Designed a company standard CI workflow to improve the efficiency of deployment (CircleCI) - Created a learning guide/examples for 28 full-time team members to learn more about Apache Spark - Used… Show more - Created a AWS Lambda metric processor to record the metrics of API requests called per model (AWS | Python) - Coordinating agile sprints with team members and delivered per iteration - Used infrastructure as code for deployment of lambda infrastructure (Terraform | Terragrunt) - Designed a company standard CI workflow to improve the efficiency of deployment (CircleCI) - Created a learning guide/examples for 28 full-time team members to learn more about Apache Spark - Used Hortonworks and IBM Watson to store data with Apache Hive and HBase to mobilize predictive analysis Show less - Created a AWS Lambda metric processor to record the metrics of API requests called per model (AWS | Python) - Coordinating agile sprints with team members and delivered per iteration - Used infrastructure as code for deployment of lambda infrastructure (Terraform | Terragrunt) - Designed a company standard CI workflow to improve the efficiency of deployment (CircleCI) - Created a learning guide/examples for 28 full-time team members to learn more about Apache Spark - Used… Show more - Created a AWS Lambda metric processor to record the metrics of API requests called per model (AWS | Python) - Coordinating agile sprints with team members and delivered per iteration - Used infrastructure as code for deployment of lambda infrastructure (Terraform | Terragrunt) - Designed a company standard CI workflow to improve the efficiency of deployment (CircleCI) - Created a learning guide/examples for 28 full-time team members to learn more about Apache Spark - Used Hortonworks and IBM Watson to store data with Apache Hive and HBase to mobilize predictive analysis Show less

Backend Developer Intern

• May 2017 - Aug 2017

- Worked on a functionality to increase efficiency to display data in real-time (Python | Java) - Used MongoDB to cache data and Apache Kafka to consume and stream data - Created new widgets and functions to allow for new platform abilities - Worked on a functionality to increase efficiency to display data in real-time (Python | Java) - Used MongoDB to cache data and Apache Kafka to consume and stream data - Created new widgets and functions to allow for new platform abilities

Researcher

• Jan 2014 - Apr 2017

- Collected data from live experiments and wrote programs to efficiently examine data - Published "The PIAS-like Coactivator Zmiz1 Is a Direct and Selective Cofactor of Notch1 in T Cell Development and Leukemia" (https://www.ncbi.nlm.nih.gov/pubmed/26522984) with colleagues - Awarded NIH R01 grant and Alex’s Lemonade Stand Foundation grant among others - Collected data from live experiments and wrote programs to efficiently examine data - Published "The PIAS-like Coactivator Zmiz1 Is a Direct and Selective Cofactor of Notch1 in T Cell Development and Leukemia" (https://www.ncbi.nlm.nih.gov/pubmed/26522984) with colleagues - Awarded NIH R01 grant and Alex’s Lemonade Stand Foundation grant among others