Tilekbek Zhoroev

United States

@tilekbekjoroev

Personal Information

tilekbekjoroev@gmail.com
+1-2704217090
Cary, NC

Badges

Problem Solving
Python
Days of Code
Days ofStatistics
Sql

Certifications

Work Experience

  • Research and Teaching Assistant

    North Carolina State University•  August 2020 - Present•  Raleigh, NC

    Utilized an immune response model to forecast BK virus levels in renal transplant recipients using MATLAB. Applied control and sensitivity analysis to deliver personalized immunosuppressant adjustments, improving patient outcomes by balancing infection control and allograft rejection risks. Delivered lectures for several undergraduate courses with class sizes ranging from 80 to 100 students.

  • Research and Development Intern

    IDeaS, a SAS company•  January 2024 - Present•  Cary, NC

    Developed demand forecasting models for hotel occupancy across multiple chains, each with hundreds of properties, which resulted in precise occupancy predictions and uncertainty estimations on predictions. Optimized the models using meta-learning task optimization, enabling accurate predictions for hotels with limited historical data. Implemented a semi-supervised mode for special event detection to improve the demand forecasting.

  • Data Science Research Intern

    PeriGen•  June 2022 - August 2024•  Cary, NC

    Completed data preprocessing for a large dataset of tens of thousands of records by utilizing SQL/Python and executing tasks such as correcting errors, standardizing data formats, and interpolating missing data. Achieved high accuracy in labor progression prediction and decision-making during labor by implementing deep Gaussian process models with the Python, TensorFlow, and GPFlow libraries on Azure ML. Achieved a 10x reduction in training and testing duration using optimization algorithms, including sparse approximation methods.

  • Data Science Research Intern

    Johnson & Johnson•  May 2023 - August 2023•  Spring House, PA

    Ensured data reliability and integrity by executing data preprocessing tasks. Developed a Variational Gaussian Processes model to predict Alzheimer's disease progression and quantify associated uncertainty, enhancing prediction accuracy by 20% and supporting early diagnosis and treatment planning.

Education

  • North Carolina State University

    Mathematics, Ph.D. in Applied Mathematics•  August 2020 - Present•  GPA: 4

  • Western Kentucky University

    M. Sc. in Mathematics•  August 2018 - May 2020•  GPA: 4

  • Erciyes University

    Mathematics, B. Sc. Mathematics•  September 2014 - June 2017•  GPA: 4

Links

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Skills

Git
Docker
SQL
Microsoft SQL
TensorFlow
Scikit-Learn
Pandas
STAN
SciPy
CUDA
Python
R
MATLAB
JavaScript
Java
Algorithm
Python(Advanced)
Data Structure