Liquan Yang Email & Phone Number

Jacksonville, Fl, Us

Huntersville, North Carolina, Us

* TBD

* Developed an app for applying mosaic censorship to facial features in videos. It utilized multi-threading for applying frame-by-frame censorship, resulting in quicker processing times. Used Python, numpy, and OpenCV.* Developed multiple Python-based ETL scripts for a banking entity. Script reduced execution time of ETL processes by 15-25%.* Designed and developed a customer-facing website for a fertility company. Used PHP, Bootstrap, and OctoberCMS.* Contributed to a Django project that has 400+ GitHub stars. Wrote documentation, identified bugs, and suggested fixes for bugs.

Jacksonville, Fl, Us

* Designed and developed a home-grown ERP mobile-friendly application that was received well by stakeholders. It reduced administrative costs by 90%. Used ReactJS, Django, PostgreSQL, Neo4j, and deployed onto Linux server using Docker.* Developed a data submission application that automatically filled and submitted forms on the FDA GUDID website. It completely eliminated the need for a human to submit data through the website. Used Python and Selenium.* Designed and developed an image grading application to process and rate microscope images of pipette tips. Responsible for data collection, data labeling, data pre-processing, and building the machine learning algorithm. Used Python, scikit-image, scikit-learn, OpenCV, and LabelBox.* Helped troubleshoot and resolve networking issues within the manufacturing facility by working with a telecom provider, with an average turnaround time of 1 hour.* Manage and maintain server, in-house software, and IoT hardware.* Provide solutions and decisions to leadership regarding IT security and hardware provisioning.

Malmö, Skane County, Se

* Developed a forecasting app in R Shiny that provides acquisition, activity, and concurrency forecasts for live producers. It reduced the time to generate forecasts from 40 hours to 1 minute. Responsible for entire app development. I talked about the app during the 2018 Nordic Data Science & Machine Learning Summit.* Designed and developed a recommendation engine for a live game. Worked closely with game developers to gather data and build a data pipeline for providing the recommendations.* Optimized a report generation tool for a live game in Python that reduced generation time by 50%.* Optimized and improved the monetization data pipeline for a live game, cutting ETL runtime by 98%.* Hosted a teaching session with a colleague to inspire high school students to join the video game industry as a data scientist. The session was so well received that they requested to do it again the following year.* Mentored other analysts by reviewing their code, providing learning materials for their self-development goals, and helping them with their projects.

Jacksonville, Florida, Us

* Developed and deployed 3 models for identifying real-time events that contributed to rising cost and risk. Used Python and scikit-learn. Models helped nurses identify members who were within 1-3 months of becoming high risk.* Developed a survey application that records audience answers from their mobile phones. It received recognition from leadership for its innovative concept of testing audience knowledge. Used Flask and Plivo API.* Developed an online report platform in Flask that automatically generates reports and dashboards for stakeholders.* Mentored and trained other analysts in Python data analysis.

Jacksonville, Florida, Us

* Developed a database crawler in SAS that provided recommendations of tables and fields based on analysts’ queries. It reduced IT support tickets by 20%.* Helped design and develop an A/B test for evaluating care programs. Used propensity score matching and written in SAS.* Acted as SAS programming coach for my team by providing efficient coding techniques, solutions to complex queries, and macro code for automation.