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Data Science

In today’s era of vast data proliferation, the primary challenge businesses grapple with is how to efficiently convert large-scale data into actionable intelligence. At Peregrine Economics, we harness the power of this data to foster informed decision-making processes, reduce litigation risks, and drive a data-informed business strategy. We work collaboratively with our clients to help them achieve their specific goals in analytics and compliance.

Our team of data scientists, economists, and mathematicians possess deep expertise in predictive statistical modeling, machine learning, and other powerful data science techniques. The team’s focus is not merely data analytics; we venture beyond traditional methods, focusing on extrapolating insights, discerning patterns, and constructing precise predictive models that underpin our client’s decisions. The data science and statistical techniques employed by Peregrine’s experts are applicable in a range of litigation contexts, including securities, labor and employment, and market manipulation. 

Key Areas of Expertise

  • Econometric Screening Models: Expertly designed for the detailed detection of market manipulations across diverse domains, from conventional commodities to the rapidly-evolving world of cryptocurrencies.
  • Financial Modeling: We develop comprehensive models that encapsulate the financial health and prospects of businesses, aiding in valuation, and risk assessment.
  • Predictive Hiring Models: Streamlining hiring processes and enhancing workforce outcomes. We assist businesses in reducing labor overheads by predicting factors such as punctuality, absenteeism, disciplinary actions, and retention probabilities.
  • Survey Design: We apply rigorous statistical principles to ensure that survey results are representative of the target population. This approach allows for the extrapolation of findings to the broader population with a high degree of accuracy, making the data gathered a robust foundation for strategic decision-making and analysis.
  • Workforce Fairness Analysis: We use sophisticated analytics to identify and rectify unintentional biases, thus minimizing litigation risks associated with HR decisions. This includes processes like hiring, firing, and workforce reductions.
  • Machine Learning Oversight: Our statistical models are intricately developed to preemptively identify and mitigate inadvertent discriminatory practices and the potential litigation risks they carry. This is especially valuable in areas like marketing campaigns and lending decisions by financial institutions.
  • Diversity, Equity, and Inclusion (DEI) Initiatives: Our integrated approach, combining legal prowess with strategic insights, empowers our clients to stay ahead of challenges and ensures their labor and employment strategies are both compliant and forward-thinking.