Develop end-to-end machine learning pipelines to predict player performance metrics and game outcomes in the sports betting industry. Responsibilities encompass advanced data preprocessing, feature engineering, and model selection across NBA, NFL, and college football data. Leverage ensemble models, time-series cross-validation, and hyperparameter optimization to build robust models focused on decision accuracy and profitability. Additionally, incorporate custom metrics, thorough error analysis, and extensive feature interaction terms to optimize model performance. Employ XGBoost, and custom neural network architectures for nuanced insights into game trends and player impacts.

I work with clients to build smart, data-driven solutions that solve real-world problems. From predicting trends to automating tasks, I use machine learning to make things faster, smarter, and more efficient.

Maintain the accurate inventory of all raw materials, finished products, and by-products of the cannabis manufacturing process.Develop expertise in distillation, extraction, refining, testing, and formulating methods of various cannabis compounds.Operate, clean, and maintain laboratory equipment. Perform corrective and preventative maintenance on associated equipment as required.Process and package PharmaCann’s broad cannabis product line as needed.Ensure compliance and accuracy involving all product tracking, product security, and product movement procedures.Follow appropriate control measures to prevent mixing of dissimilar production components while following Current Good Manufacturing Practices. Perform in-process and post-process quality assurance sampling, testing, and visual inspections to ensure all products meets or exceeds specifications, along with patient and customer expectations. Record and monitor process conditions to ensure compliance to standard operating procedures.Proper weighing, data recording, and batch tracking throughout PharmaCann’s process.Execute tests on required analytical equipment.Work with 3rd party laboratories on sampling and lot control for their sample gathering and reporting.Work with the internal QA/QC team on sampling and lot control for their sample gathering and reporting.

Recorded and monitored traffic data gathered from trail monitors, took water quality samples for analysis, created tables and charts showing data distribution to find patterns.