Yunli Tang Email & Phone Number

Santa Barbara, CA, US

Santa Barbara, CA, US

Santa Barbara, CA, US

Boston, Massachusetts, US

• Applying machine learning and statistical analysis on years of historical ad campaign data and harvested data from YouTube, Facebook, and Instagram to help our customers optimize ad campaign performance and understand.
• Developed and productized new versions of Pixability’s ad projection model using Random Forest for classifying views as paid or organic, giving our clients a holistic view of their Return on Ad Spend.
• Built an end-to-end categorization system using NLP and neural networks, enabling brand suitability and brand categorization of close to 1 billion YouTube videos to provide clients with audience insights.
• Developing and supporting Pixability’s automated bidding platform that uses statistical modeling to optimize daily bids and budgets averaging 37,000 optimizations daily.
• Created R Shiny Application pricing tool using exploratory data analysis on years of campaign data, determining the optimal contracted rate for our Sales Strategy Team.
• Restructuring current process of harvesting data by revamping legacy backend Python code and analyzing new seed data, empowering our Customer Success Insights team with better client reporting.

Armonk, New York, NY, US

• Developer on a health data Platform as a Service to help life sciences and researchers build innovative solutions using advanced healthcare analytics.
• Designed data pipelines for ingesting medical records on big data platform using Apache Kafka, HBase, and JDBC databases for supporting data replication, streaming, high availability, and disaster recovery.
• Deployed Apache Kafka and data streaming tools to cloud architecture using Docker containers and to virtual machines using Chef, Jenkins, Git, and IBM’s internal deployment automation tool, enhancing usage and speed of.

Armonk, New York, NY, US

• Served as lead data scientist for IBM Open Data Analytics on z/OS, built on Apache Spark, a solution for simplifying data analysis on System Z using open source software.Developer on the analytics team for IBM zAware.
• Automated testing of machine learning libraries to z/OS platform using Python, Bash, and Jenkins, ensuring high performance and availability.
• Wrote Proof of Concepts using Python to develop predictive models, data analysis, and visualizations, helping clients make informed decisions about their system utilization.
• Developed and maintained analytics and back-end Java code for IBM zAware, iteratively addressing client needs and improving log analysis. Designed open-source version contributing to IBM LinuxONE, Anomaly Detection.
• Collaborated and developed new data analytics with machine learning team at IBM Research.
• Performed exploratory data analysis on zLinux and z/OS message log streams using Python to test and develop new features.

New York, NY, US

• Taught weekly kickboxing, strength training and ab classes.

Binghamton, NY, US

• Collaborated with NOAA to verify their weather reporting system by applying machine learning methods to image datasets in MATLAB.
• Applied feature extraction, method of moments, and image preprocessing to reduce dimensionality of dataset.
• Built regression, ranking, and SVM models to accurately predict test data.

Binghamton, NY, US

Design & Analysis of Algorithm o Led a discussion section (1.5 hours/week) teaching common algorithms for processing strings, trees, and graphs, sorting and searching algorithms, algorithm design strategies, and introduction to NP-Completeness.Introduction to Data Mining o Reinforced concepts in data mining including data preprocessing, mining association.

Hauppauge, New York, US

Modified C++ code that translates between two difference versions of SimStim, an acoustic simulation.

Upton, NY, US

• Conducted research (45 hours/week for 10 weeks) on the thermodynamic properties of the 1+1 dimensional Gross-Neveu model and black holes with dilaton in 2+1 dimensional gravity.
• Wrote MATLAB and Mathematica programs for data analysis on properties of the Gross-Neveu model and for obtaining numerical and exact solutions to black hole field equations.

Upton, NY, US

• Conducted research (45 hours/week for 10 weeks) on particle loss signal in an x-ray storage ring.
• Processed and analyzed data recorded from a Cerenkov Beam Loss Monitor by developing robust algorithms in MATLAB.
• Presented a poster to scientists on real-time beam losses and optimal threshold values for particle loss inspection.

Master’S Degree, Computer Science

Bachelor’S Degree, Mathematics