Zohar Strinka
Verified Expert in Engineering
Machine Learning Developer
Zohar has a range of interests related to using data to make business decisions. These include every aspect of taking data from where it lives to the design and presentation of the final metrics. Her analytics toolkit includes data engineering, data science, optimization, and BI. She has industry expertise in supply chain, healthcare billing, people analytics, auctions, and lean engineering.
Portfolio
Experience
Availability
Preferred Environment
PostgreSQL, Python, R
The most amazing...
...work I've done is to disentangle the world of US healthcare billing well enough to make cash flow predictions from claims data.
Work Experience
Principal Consultant
Analytics Strategies LLC
- Developed logistics models for a complex supply and demand network using open source linear and integer optimization tools and Python.
- Worked with stakeholders throughout a division to provide custom analytics and ML solutions to a variety of business needs.
- Worked with HRIS data, analysis, and ML to identify bias in an organization's pay.
- Developed a churn model for a lead generation product that informed business decisions.
- Understood customers business needs and quickly delivered on their top priorities.
Data Scientist
Mashey
- Used machine learning, data mining, and predictive analytics to provide insight into key business problems.
- Developed descriptive analytics tools to meet customer needs in healthcare, manufacturing, and logistics.
- Supported a data warehouse design and build for a large retailer.
- Gathered requirements and developed an optimization tool for a healthcare customer.
Algorithm Developer
Self
- Used trading tools, Java, and R to extract and analyze price and indicator data.
- Implemented the resulting algorithm using Python and a REST API connection to the broker.
- Developed a philosophy for how to approach time series problems in a computationally manageable way.
- Improved data cleaning and data science skills.
Graduate Student
University of Michigan
- Built probabilistic models of inventory problems commonly faced by manufacturers and distributors.
- Used stochastic optimization and auction theory to create provably effective algorithms. Coded the resulting algorithms to demonstrate the strengths and weaknesses of the models in practice.
- Developed advanced analytics skills including business acumen, requirements gathering, and analysis skills.
Experience
Decision Making Blog
http://typethreeerror.blogspot.com/Skills
Languages
Python, Python 3, R, SQL, Java, C++
Tools
Qlik Sense
Paradigms
Linear Programming, Data Science
Other
Mixed-integer Linear Programming, Optimization, Operations Research, Stochastic Modeling, Communication, Software Development, Data Mining, Research, Machine Learning, Data Engineering, Data Modeling
Libraries/APIs
Caret
Platforms
AWS Lambda
Storage
PostgreSQL, Database Architecture
Education
Ph.D. in Industrial and Operations Engineering
University of Michigan - Ann Arbor, Michigan
Bachelor's Degree in Industrial Engineering and Honors Physics
Purdue University - West Lafayette, IN
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