Halee Mason

Director of Technology & Partnerships

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About Halee

Experienced Data Scientist with a Master's in Data Science and a demonstrated history of collaborations with clients to solve challenging problems in the machine learning and AI consulting services industry. Thrives when developing and deploying predictive models in production environments to drive business value for clients. Enjoys blending Data Science and Software Engineering best practices with a machine learning focus to create useful, repeatable solutions. Skilled in data wrangling, text mining and classification, algorithm development, and deployment of analytical models while utilizing technologies such as Python, Spark, and R.

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Experience

March 2023 - Present
Director of Technology & Partnerships
Cloud9 Esports Inc.
- Responsible for over 10 different partnerships including, driving strategic alliances, and revenue growth through innovative collaboration and relationship management at Cloud9.
- Leads a cross-functional team to establish and execute partnership agreements with industry-leading organizations such as Microsoft, AT&T, Red Bull, Kingston, Polygon, Secretlab, BC.GAME, and Guild of Guardians, driving product & service integration and enhancing customer experience while cultivating long-term relationships and opening new business opportunities.
- Established and maintained a data-driven approach to partnership performance measurement, resulting in continuous improvement and optimized ROI.
- Developed and executed innovative co-marketing campaigns that significantly boosted brand visibility and customer acquisition.
- Collaborated with the product development team to identify and prioritize partnership-driven product enhancements, driving customer satisfaction.
- Successfully negotiated high-value contracts, securing favorable terms and conditions, contributing to cost savings of millions of dollars.
Janurary 2023 - March 2023
Director of Technology & Analytics
Cloud9 Esports Inc.
- Leads technology intiatives for Cloud9 including general IT Administration, Website, STRATUS, Web3, Data Automation, Security and Compliance, and Competitive Analytics for VALORANT and League of Legends.
September 2022 - Feburary 2023
Interim Senior Technical Partnerships Manager
Cloud9 Esports Inc.
- Responsible for leading technical and Web3 partnerships accounts for Cloud9 including: Microsoft, Polygon, Blockchain.com, Guild of Guardians, and Axie Infinity.
- Managed partner relationships, ensured Cloud9 and partners met agreed upon commitments, provided technical input into partner scope of work, and recommended technical approaches when appropriate.
- Led large scale sponsorship events with multiple stakeholders, complicated external and internal dependencies, and intersecting workstreams including: marketing campaigns, co-branded Web3 esports.
- Partnered with marketing, content, social, engineering, and product managers to deliver best-in-class digital partner experiences, lead communications, and reporting around partner status at all levels.
June 2019 - December 2022
Lead Data Scientist
Cloud9 Esports Inc.
- Worked with the Cloud9 League of Legends team professional players, coaches, and technical partners to lead and develop analytics projects.
- Technical engagement lead for the multi-year partnership with Microsoft to develop technology and performance analytics solutions.
- Design and implement highly resilient and reliable cloud-based, on-premises, or hybrid architectures for development, data pipelining, and model delivery in multiple programming languages to support internal research and customer needs.
August 2017 - June 2019
Data Scientist
Elder Research, Inc.
- Has led multiple projects through all phases of the data science lifecycle, in terms of technical execution, project management, and client engagement, with a focus on translating business understanding into appropriate technical direction.
- Utilized Python, R, and Spark to develop, implement, and deploy predictive models and data pipelines for wrangling production data sources from a variety of stores including Elasticsearch, Redshift, SQL Server, S3, and HDFS.
- Experienced with text mining, classification, topic modeling, and natural language processing through development of multiple text-related models for clients including an LDA topic model and SVM multilabel classification model in Python.
- Created and taught PySpark hands-on training exercises involving data wrangling, pipeline creation, and data visualization delivered through a 2-day onsite Data Engineering practitioners course using Spark, AWS, and Hadoop to 17 students.
- Published two Python packages: one to streamline the process of residual effects analysis on categorical variables for advanced feature engineering for predictive modeling and a second for deploying a text classification model in AWS.
- Earned AWS Technical Professional Accreditation from AWS APN, December 2018
March 2016 - August 2017
Data Analyst
Elder Research, Inc.
- Worked with clients, managers, and technical staff to understand business needs and develop predictive models to deliver high quality results, while contributing substantially to the execution of technical tasks.
- Collaborated with a team of data scientists and software engineers using version control and agile methodologies in a rapid-paced work environment to meet client needs, leading to repeat business and two successful model deployments.
- Led the Summer Internship Training Program by training students on data science concepts and machine learning algorithms.
- Data science team lead for developing and deploying a predictive timeseries model in PySpark to forecast package arrival timeframes within a large shipping and logistics company.
July 2013 - May 2017
Clinical Laboratory Scientist
University of Virginia Health System
- Performed high-complexity flow cytometry testing to identify diverse leukemia and lymphomas, with an emphasis on quantitative data analysis and analytical interpretation of results to classify a variety of immunologic disorders.
- Managed laboratory generated data to enable effective, timely, accurate, cost-effective reporting of patient outcomes while collaborating with attendings in diagnosis.

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Education

August 2017
M.S. Data Science
University of Wisconsin Eau Claire
Courses:
- Statistical Methods
- Data Warehousing
- Prescriptive Analytics
- Unstructured Data Analysis
- Social Network Analysis
- Programming for Data Science
- Machine Learning
- Data Mining
- Ethics of Data Science
- High-Performance Computing
- Visualization & Communication
- Strategic Decision-Making
May 2013
B.S. Medical Technology
State University of New York at Fredonia
Courses:
- Calculus
- Genetics
- Biology I & II
- Biochemistry
- General Chemistry I & II
- Microbiology
- Organic Chemistry I & II
- Immunology & Serology