Michael Levinson Email & Phone Number

Kirkland, WA, US

Sydney, AU

• As Head of Consulting my mission is to take complex problems, and work with my clients to finding the right solutions.Most recent client role - NLP Lead Engineering Consultant AI based Pharmaceutical Development:With.
• Key member in architecting the Knowledge Graph for Biological Networks in pursuit of AI based pharmaceutical research.
• Responsible for identifying, and instructing the team in the use of Graph Neural Networks
• Provided guidance, and mentorship at all levels in the company
• Client Deck Review, NSF Grant Review, Prompt Engineering Guidance for MidJourney
• Web 3.0, Data, and AI Consulting - Currently ongoing

San Francisco, California, US

• Leading Data Science leveraging experience as a research scientist, and seasoned manager. Applied background in process improvement, and team planning/development. Heavily involved in recruitment, and mentorship. I was.
• Member of a team that oversaw the coordination of a large-scale overhaul of a flagship product, collaborating with multiple departments including actuary, cyber risk modeling, engineering, marketing and sales.
• Reduced product failures with product rollouts by identifying timeline issues within the planning stage that could have delayed the rollout of the flagship product.
• Successfully secured additional resources and increased communication resulting in product delivery three days ahead of schedule.
• Kept Department churn down 20% by instilling the proper resources and a positive, participative management approach.
• Utilized Agile approach to data science to set clear expectations and streamline communications, resulting in high-level work velocity and increased employee morale.

Houston, Texas, US

• In this role, I was responsible for setting internal and external AI vision and strategy as well as assisted in writing small business research grants (SBIR) for the Department of Defense.
• Identified and defined Baseline and Deep Learning based solution for SBIR client.
• Built preliminary Knowledge Graphs for Graph Neural Network-based system to improve Educational Outcomes.
• Defined budget requirements for data science and data engineering.
• Support for both human and infrastructure capital
• Collaborated and prepared SBIR grant paperwork which was eventually selected for a $750K contract

Austin, Texas, US

• In this position, I was tasked with building natural language processing products focused on machine learning and data science intended to understand the Voice of Customer in this forward-looking director role for a.
• Saved $500K YoY by adapting a product used to track customer sentiment that improved accuracy from 50% to 85%.
• Built a summarization model that resulted in cost savings due to storing only the necessary information in audio messages. Improved efficiency and reliability for C-Suite and product leaders needing to glean relevant.
• Built strong relationships with multiple stakeholders to ensure needs were met on projects built around AI/ML methodologies.

• Here, I was hired due to my background in neuroscience to assist with research and build a model that harnessed text with structured information to predict severe sepsis. This was a breakthrough project that showcased.
• Led algorithm development for Automatic Text Summarization and managed a machine learning project for medical records.
• Applied statistical methods to extract actionable information for feature engineering.
• Supervised employees in methods of data ingestion, shaping and storing in MongoDb (NoSQL Database).
• Applied Deep Learning Methods to improve Feature Engineering and Model Performance.

• I provided services for five clients and completed six projects including a machine learning model with encrypted information for a hedge fund and work for Providence Medical Center.
• Applied online machine learning methods for analysis of large medical datasets.
• Leveraged standard statistical methods for descriptive statistics.
• Developed advanced methods for data augmentation with respect to image classification.
• Leveraged background in Python, R and Matlab to develop proprietary modules for machine learning.
• Applied propensity scoring methods to create restricted datasets to better understand treatment effects concerning various intervention programs.

Renton, WA, US

Applications of Statistical Analysis to Observational Studies: Robust Methods, Outlier Analysis, Regression Analysis, Propensity Score Matching/Weighting, Balanced Risk Set Matching (Time-Varying Propensity Score Matching), Descriptive Statistics, Interpretation of Results, Research, and Writing.

Master Of Science (M.Sc.), Engineering Sciences And Applied Mathematics

Bachelor Of Science (Bsc), Neuroscience

Graduate Certificate, Product Management Studio