ABOUT ME
I have deep knowledge of Data Science across a variety of sectors from finance and healthcare to people analytics and IOT. I can help you get from an initial concept to a finished polished Data Science product. My strengths in strategy and product management will enable you to elevate your Data Science portfolio.
Consulting Experience
Professional Experience
Pinterest, NYC
People Strategy and Analytics Data Science Lead
(2021-Present)
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Responsible for designing and implementing scalable analytics to generate insights for senior leaders to make decisions.
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Areas of expertise include DEI, workforce analytics, talent acquisition, engagement and employee lifecycle.
AWS Certificates:
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AWS Solutions Architect
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AWS Machine Learning
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AWS Developer
Amazon
People Research Lead, People Science Research
2021
Responsible for building a mechanism to understand the differences of employee sentiment between employee subgroups and recommendations to resolve them
AWS
AI/ML Professional Services
Solved challenging ML/AI problems for medium to enterprise customers across a variety of use cases and industry verticals
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Design architecture leveraging AWS tools and services
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Develop extensible and reusable code to solve challenging problems
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Lead training and enablement workshops
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Develop and deliver ML/AI solutions for customers
AWS
AI/ML Professional Services
• Designed AI/ML platform application to service Data Engineers, Business Intelligence engineers,
Data/Research/Applied Scientist to collaborate and build analytics applications on.
• Developed a 10 year forecast model for major sportswear company
• Led training efforts on leveraging Sagemaker, building/training/and deploying models, as well as source control for
a major hotel brand
• Built a document processing workstream on AWS with Textract to save financial company over 500 annual FTE
hours
• Designed and built real time covid monitoring dashboard with camera tracking system for major NFL team.
• Built risk product for manufacturing customer to forecast faulty parts and intercept for repairs seamlessly.​​
Intel
Data Science Lead, Device Research & Strategy
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Responsible for designing and developing AI/ML strategy for Intel’s Global Laptop Division Battery Optimization team
Technical Skills
Statistical & Machine Learning
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Multiple Linear & Logistic Regression
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A/B & Experimental Testing
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MANOVA
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SVM
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Clustering (Spectral, Kmeans, MiniBatch Kmeans, DBSCAN)
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Dimensionality Reduction (PCA, LDA)
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Decision Trees
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Classification (SVC, Naive Bayes, KNeighbors, Ensemble)
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Deep Learning
Programming
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Python (Pandas, Numpy, Sklearn, and more)
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R
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SQL (MySQL, Snowflake)