Machine Learning Data Scientist

Laziz Yuldoshev

*************@*****.*** +1-704-***-**-** Charlotte, NC

EXPERIENCE

Novant Health May 2021 – Present

Data Scientist II Charlotte, NC

● Worked with cross-functional team of data scientists, data engineers, and business analysts to create end-to-end machine learning projects:

o Septic Shock Prediction – developed Multi-Layer Perceptron model on Azure Databricks with 82% recall rate, reducing clinical response time by 25% o Billing and Insurance Claims Anomaly Detection – designed K-means clustering model for Care Connections team to identify anomalies in billing and insurance claims, automating monthly reports and review time by 50%

o Cancer Institute Analytics – developed 15+ Power BI dashboards focused on Cancer Readmissions and Surgery Complications, leveraging electronic health records from EPIC and SQL Server to help top management monitor readmissions on daily basis

● Organized internal trainings for junior data scientists on: o Machine Learning on Azure Databricks – how to develop, deploy, and manage end-to-end machine learning projects in cloud environment and monitoring performance of existing models o SQL Query Optimization – collaborative peer coding sessions to improve best practices for writing efficient SQL queries

EPAM Systems Oct 2017 – May 2020

Data Scientist I Tashkent, CIS

● Developed Logistic Regression model to evaluate loan portfolios for banks with assets exceeding $1 billion, achieving 87% accuracy in predicting default risk and facilitating the determination of appropriate loan provisions

● Developed and deployed Random Forest model to detect fraudulent credit card transactions, automating review process for suspicious activities and reducing review costs by 30% Deloitte Sep 2015 – Sep 2017

Senior Analyst Tashkent, CIS

● Performed loan provision assessments and projected loan default trends for leading banks with assets exceeding

$1 billion USD

● Automated Excel and SQL reports for anomaly detection in credit card transactions, cutting assessment process time by 40%

EDUCATION

University of North Carolina at Charlotte May 2021 Master of Science in Data Science and Healthcare Analytics Charlotte, NC

● Kaggle Bronze Medal organized by Microsoft – “GPS Indoor Location and Navigation” University of Westminster May 2015

Bachelor of Science in Economics and Statistics London, UK

● Full tuition scholarship student

OTHER

● Technical Skills: Microsoft SQL Server, Python (Pandas/Scikit-Learn/PySpark/PyTorch), PowerBI, Azure Cloud Services, Azure Databricks

● Certifications & Trainings: EPIC Caboodle, Epic Clarity, SAS Developer, Databricks Machine Learning Engineer, Databricks Gen AI Engineer, Azure Data Science Associate

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