Kukuyeva Consulting

  • Advised CEO and Engineering team of hospitality start-up on how to close gaps in company’s data collection pipeline for tracking customer service requests; quarterly advising and code reviewing analytics initiatives in Python

  • Minimized oil rig equipment failure and future potential crises by predicting when oil rig needs maintenance, from IoT sensors for manufacturing company via Elastic Nets in Python on AWS EC2

  • Increased GPS accuracy for point-of-interest detection system in IoT mobile devices by 15% for mobile market research start-up by leveraging Google API and Boosted Trees in Python

  • Pioneered an automated framework to perform end-to-end cohort retention analysis of CPG client’s 10 years of purchase history to run in 10 minutes, for consultancy start-up via pySpark and SparkSQL in Databricks notebook

Slalom Consulting

  • Spearheaded efforts to standardize data quality workflows for tracking quality of care metrics across two disparate Electronic Health Record (EHR) systems of a major healthcare organization

Children's Hospital Los Angeles

  • Oversaw all data science initiatives at CHLA’s Anesthesiology and Critical Care Medicine Department, collaborating on papers and non-pharmaceutical clinical trials

  • Collaborated with CEO and Chief Medical Officer to evaluate and improve existing healthcare quality metrics, sharing findings with physicians and nurses of 100+ US hospitals

  • Invented a Novel Feature Engineering Approach for Healthcare Data for unequally-spaced, age-dependent patient vitals, for predicting out-of-sample outcomes with 8% more accuracy; presented at MUCMD

Ipsos Science Center

  • Generated $4M+ annually across 1.5K+ global studies and multiple CPG clients, by leading development of an end-to-end R/shiny app, for estimating causal structure and strength of key drivers of CPG purchases

UCLA Statistical Consulting Center

  • Mapped evolution of Channel Islands population from cranial measurements via dimension reduction and Voronoi Tesselations (Joint project with Denise Ferrari; Advisor: Jan de Leeuw)

  • Uncovered drivers of CPG purchases via Constrained Principal Component Analysis (Collaboration with Jan de Leeuw)