Oksana B.

About Oksana B.

Innovative data scientist who combines statistical methods and analytical tools to…

Experience

1. Data Scientist

   Blue Cross NC

   Apr 2021 — Present

   Collaborating with Healthcare Quality and Sales and Marketing teams to identify and evaluate data science opportunities through clinical and demographics data • Building supervised and unsupervised machine learning models using clinical and demographics data, for example:* Predicted which policy members have high likelihood of developing cervical or colon cancer in the near future to help improve member outreach regarding preventive cancer screenings;* Predicted which policy members are highly likely going to enroll into Tobacco Cessation program to help improve member outreach regarding enrollments into tobacco cessation program;* Identified smokers through diagnosis and service codes from medical claims, which helped improve member outreach by 91%;* Conducted Clustering member segmentation to help improve Smoker Cessation communication campaign;* Forecasted number of medical procedures for the medical program for the eligible business groups. • Helping move predictive models, which I have built, through MLOPS pipeline using AWS Sagemaker. • Conducting statistical analysis, hypothesis testing to provide better business insights and recommendations. • Evaluating existing business campaigns for effectiveness (Causal Inference Analysis, ROI analysis):* Building different quasi-experimental study designs to help understand the effectiveness of campaigns on different outcomes (ER visits, Dental visits, Out of Network medical visits, etc.) and medical savings using different statistical algorithms, like Propensity Score Matching, Difference-in-Differences, Instrumental Variables, etc. • Conducting Exploratory Data Analysis, Opportunity Analysis to help Sales and Marketing team in creating and running successful business campaigns. • Applying Natural Language Processing technique (Naïve Bayes for spam message detection, text mining, sentiment analysis of member survey data) • Creating and updating Tableau dashboards to display analysis.