Zohar Strinka, Data Modeling Developer in Denver, CO, United States
Zohar Strinka

Data Modeling Developer in Denver, CO, United States

Member since March 29, 2017
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.
Zohar is now available for hire




Denver, CO, United States



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.


  • Principal Consultant

    2018 - PRESENT
    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.
    Technologies: PostgreSQL, Python, R
  • Data Scientist

    2017 - 2018
    • 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.
    Technologies: PostgreSQL, SQL, R, Qlik Sense
  • Algorithm Developer

    2016 - 2017
    • 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.
    Technologies: Python, Java, R
  • Graduate Student

    2010 - 2016
    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.
    Technologies: Research, Mixed Integer Linear Programming, Linear Programming, Optimization, C++


  • Decision Making Blog (Other amazing things)

    I like to explain complex concepts in intuitive terms. I have practiced this skill over the past several years on my blog.


  • Languages

    Python 3, R, SQL, Python, Java, C++
  • 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

  • Tools

    Qlik Sense
  • Platforms

    AWS Lambda
  • Storage

    PostgreSQL, Database Architecture


  • Ph.D. in Industrial and Operations Engineering
    2010 - 2016
    University of Michigan - Ann Arbor, Michigan
  • Bachelor's degree in Industrial Engineering and Honors Physics
    2005 - 2010
    Purdue University - West Lafayette, IN

To view more profiles

Join Toptal
Share it with others