I solve data-related problems. I use data science and full-stack data development tools to generate analysis and applications. Whether this means providing advice on your current data practices, creating an ETL web application, creating a real-time updating dashboard, or undertaking one-time statistical analyses, I am able to help you make sense of your data to make better business decisions. I follow an agile, test-driven development methodology.
Have worked for Twitter, the Inter-American Development Bank, numerous startups.
Languages: Python, R, JS.
Some things I’ve worked on recently:
- Consulted with a startup and provided ongoing advocacy about their data ecosystem, data warehousing practices, and data acquisition pipelines.
- Built end-to-end applications that produce a data-related product
- One-off analyses and visualizations of business-critical data to gain additional insight
- Visualization Libraries: R's ggplot2 and Python's matplotlib for static visualizations. Python's Bokeh and JavaScript's D3 for dynamic visualizations. Python's Bokeh for dashboards.
- Big Data Tools: Pig and Scalding are my preferred Map Reduce abstraction layers. Together with Python, R, and Bash, I have experience utilizing these tools within the Hadoop File System to make large amounts of data manageable.
I solve data-related problems. I use data science and full-stack data development tools to generate analysis and applications. Whether this means providing advice on your current data practices, creating an ETL web application, creating a real-time updating dashboard, or undertaking one-time statistical analyses, I am able to help you make sense of your data to make better business decisions. I follow an agile, test-driven development methodology.
Have worked for Twitter, the Inter-American Development Bank, numerous startups.
Languages: Python, R, JS.
Some things I’ve worked on recently:
- Consulted with a startup and provided ongoing advocacy about their data ecosystem, data warehousing practices, and data acquisition pipelines.
- Built end-to-end applications that produce a data-related product
- One-off analyses and visualizations of business-critical data to gain additional insight
- Visualization Libraries: R's ggplot2 and Python's matplotlib for static visualizations. Python's Bokeh and JavaScript's D3 for dynamic visualizations. Python's Bokeh for dashboards.
- Big Data Tools: Pig and Scalding are my preferred Map Reduce abstraction layers. Together with Python, R, and Bash, I have experience utilizing these tools within the Hadoop File System to make large amounts of data manageable.
- Back End: Nginx, Gunicorn, MySQL-driven databases
- Version Control: Git, Subversion
- Testing Frameworks: Selenium- Machine Learning and Statistics: Ranked in Kaggle's top 1%. MIT degree, lab focus was on computational statistics.
- Version Control (Git, SVN), Continuous Integration, Test-Driven Development, Nginx, HDFS, Pig, Scala, Scalding.
Full stack data developer looking for freelance/remote opportunities.
Remote: Yes
Willing to relocate: No
Technologies: Full stack Data Developer - Python (Django, Flask), R, JS (particulary d3.js), Hadoop (Pig, Scalding) Resume/CV: Portfolio at http://rowanv.com , cv at http://rowanv.com/portfolio/resume/
I build data-oriented end-to-end applications and dashboards, with a focus on the Python ecosystem.
Email: rowan [at] rowanv [dot] com
I solve data-related problems. I use data science and full-stack data development tools to generate analysis and applications. Whether this means providing advice on your current data practices, creating an ETL web application, creating a real-time updating dashboard, or undertaking one-time statistical analyses, I am able to help you make sense of your data to make better business decisions. I follow an agile, test-driven development methodology.
Have worked for Twitter, the Inter-American Development Bank, numerous startups.
Languages: Python, R, JS.
Some things I’ve worked on recently: - Consulted with a startup and provided ongoing advocacy about their data ecosystem, data warehousing practices, and data acquisition pipelines. - Built end-to-end applications that produce a data-related product - One-off analyses and visualizations of business-critical data to gain additional insight
Portfolio: http://rowanv.com Email: rowan [at] rowanv [dot] com
Other tech tools I work with:
- Web Frameworks: Python's Django and Flask
- Visualization Libraries: R's ggplot2 and Python's matplotlib for static visualizations. Python's Bokeh and JavaScript's D3 for dynamic visualizations. Python's Bokeh for dashboards.
- Big Data Tools: Pig and Scalding are my preferred Map Reduce abstraction layers. Together with Python, R, and Bash, I have experience utilizing these tools within the Hadoop File System to make large amounts of data manageable.