Lucas Newman
Portland,OR
Summary
Data science leader with 8 years of experience driving impactful, data-driven initiatives across banking, fintech, cybersecurity, consumer goods, and sports industries. Led teams to operationalize high-impact products and deliver actionable insights that drive strategic business outcomes.
Currently leading Nike’s marketplace operations commercial data science team, applying advanced machine learning techniques to optimize the global supply chain, improving demand forecasting, supply chain efficiency, and inventory flow optimization.
Graduated with honors (MS in Data Science) from the University of Texas at Dallas, with a passion for transforming data into a strategic asset that fuels business success.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Lead Data Scientist
Nike
04.2022 - Current
- Led the implementation of a robust hierarchical forecasting model to optimize inventory planning, resulting in a 35% reduction of SKU-level demand error and having an estimated ROI of $5 million.
- Implemented an inventory flow model via reinforcement learning reducing inventory holding costs by 10%.
- Developed advanced algorithms to optimize container backlog management, resulting in a 30% decrease in container backlog and a 20% reduction in idle products.
- Spearheaded a clustering inventory segmentation algorithm that reduced overstocking by 20% and contributing to $3 million cost reduction in storage costs.
- Pioneered and developed advanced causal inferencing models, enhancing the speed of delivery evaluation process by over 40% compared to traditional A/B testing
Lead Data Scientist
JPMorgan Chase
03.2021 - 04.2022
- Supervised and mentored a dedicated team of 4 members to deploy over 7 advanced data models across Audit, Anti Money Laundering & HR fields within Corporate Tech ML division, attracting millions in funding for future projects.
- Collaborated with cross-functional teams to implement a multi-class NLP model achieving 87% F1 score for technical skill extraction from source code, leading to patent recognition and attracting $17 million investment from HR.
- Led design and implementation of automated attendance tracking system, increasing PTO balance accuracy by 60% which led to substantial cost reductions for company by ensuring precise PTO payouts.
- Designed and implemented a novel audit analysis framework leveraging fast-text embedding & LDA techniques to streamline audits and achieve a 45% improvement in efficiency.
- Built and optimized a XGBoost anti-money laundering model, resulting in a 35%reduction in investigator cases.
Principal Data Scientist
Bank of America
03.2020 - 03.2021
- Led a data science team of 3 members within the global information security analytics department, overseeing and managing end-to-end data science projects.
- Developed and deployed a high-accuracy gradient-boosted model as an enterprise application risk classifier for vulnerability mitigation, thus automating IT application audits and saving millions each year.
- Collaborated with cross-functional teams to develop forecasting and anomaly detection models for monitoring outgoing data volume, resulting in a +75% reduction in potentially sensitive data.
Senior Data Scientist
PepsiCo
04.2019 - 03.2020
- Led the development of SKU-level sales forecasts for all Frito-Lay products allowing for a more dynamic promotion plans which boosted annual revenue by $10 million.
- Engineered an NLP product to efficiently diagnose product 'defects' via customer interaction data, enabling PepsiCo to better manage vendor relationships resulting in a 15% gain in customer and vendor retention.
- Implemented an end-to-end solution leveraging a computer vision model for store shelf compliance and out-of-stock detection, leading to a 15% reduction in stockouts and optimizing order planning processes.
- Spearheaded a sentiment detection model to better inform marketing campaigns, allowing for customer concerns to be proactively addressed resulting in a 25% boost in brand reputation and a 10% gain in campaign views.
Senior Data Scientist
4Sights Consulting
08.2018 - 04.2019
- Oversaw the development of an NLP topic modeling system for incident ticket analysis leading to a 25% reduction in IT issue diagnosis time saving the client $1million annually.
Senior Machine Learning Engineer
Symplex Healthcare
01.2018 - 08.2018
- Developed and implemented advanced probabilistic graphical machine learning models to create a symptom-based diagnosis classifier for a healthcare startup resulting in $1million in series A funding.
Data Scientist
Dallas Cowboys Football Club
01.2018 - 08.2018
- Implemented an innovative NLF draft optimization product based on EPA, athletic profiles, and advanced bio-metrics surpassing existing mock draft machines' accuracy by 30%.
Data Analytics Consultant
UFC Gym
04.2017 - 01.2018
- Utilized Python-based machine learning models to optimize customer segmentation, resulting in a 20% improvement in personalized marketing effectiveness.
Education
Master of Science - Data Science & Machine Learning
University of Texas At Dallas
Richardson, United States08.2019
Bachelor of Science - Computer And Information Sciences
University of Texas At Dallas
Richardson, United StatesSkills
- Python (Programming)
- Machine Learning
- Deep Learning
- Supervised Learning
- Unsupervised Learning
- SQL (Programming)
- Time Series Forecasting
- Natural Language Processing
- Recommendation Engines
- Statistical modeling
- Algorithm development
- Computer Vision
- Optimization
- Reinforcement Learning
- A/B Testing
- Causal Inference
- Product Management
- MLOps
- AWS Sagemaker
- Apache Spark
- Docker
- Version Control (Git)
- Linux/Unix
- Apache Airflow
- Agile Methodology
- Bayesian Statistics
Certification
- AWS: Amazon SageMaker Studio for Data Scientists
- AWS: MLOps Engineering on AWS
- Udacity: Machine Learning Engineer Nanodegree
- DeepLearning.AI: Deep Learning Specialization
Timeline
Lead Data Scientist
Nike
04.2022 - Current
Lead Data Scientist
JPMorgan Chase
03.2021 - 04.2022
Principal Data Scientist
Bank of America
03.2020 - 03.2021
Senior Data Scientist
PepsiCo
04.2019 - 03.2020
Senior Data Scientist
4Sights Consulting
08.2018 - 04.2019
Senior Machine Learning Engineer
Symplex Healthcare
01.2018 - 08.2018
Data Scientist
Dallas Cowboys Football Club
01.2018 - 08.2018
Data Analytics Consultant
UFC Gym
04.2017 - 01.2018
- AWS: Amazon SageMaker Studio for Data Scientists
- AWS: MLOps Engineering on AWS
- Udacity: Machine Learning Engineer Nanodegree
- DeepLearning.AI: Deep Learning Specialization
Master of Science - Data Science & Machine Learning
University of Texas At Dallas
Bachelor of Science - Computer And Information Sciences
University of Texas At Dallas
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