Videsh Narine

Experience

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  Thomas A Edison Career And Technical High School

  Oct 2018 - Jun 2019

  Junior Network Administrator

  Duties and responsibilities include but are not limited to the following:- Resolve service calls to troubleshoot hardware and software tickets- Establish accounts for new users and assist with password or login problems.- Maintain an inventory for all technology equipment- Maintain and configure reliable operation of computer systems, network servers, and virtualization- Install and upgrade computer systems/software and integrate automation processes- Perform backup operations for data protection and disaster recovery Show less

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  New York On Tech

  Jul 2019 - Aug 2019

  Mentor

  - Oversaw 50 students in the America on Tech UX Design Summer Program and answered technical questions regarding prototyping software, Figma.- Mentored students by giving feedback on their app prototypes using UX design best practices; which allowed students to create an app prototype tailored for a mock client’s business.- Aided program manager by collaborating on the daily agenda and setting up laptops for student use.

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  Memorial Sloan Kettering Cancer Center

  Jun 2022 - Aug 2022

  Digital Informatics and Technology Solutions (DigITS) Intern

  - Oversaw and continued the Master Data Management(MDM) Team’s initiative to create a master record across a variety of data sources for data such as provider and employee information- Managed and developed hospital database in a team of five using Python and SQL to ensure 23,000+ patients have access and visibility to everyone under their care.- Replaced IBM DataStage jobs using Python to cleanse API data to be read into MDM - Implemented logging metrics in Python for ETL from IBM Cloud Object Storage to MDM to isolate specific errors- Organized Python projects into meaningful sections to make readability and isolating errors easier Show less

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  CUNY Tech Prep

  Jun 2022 - May 2023

  Data Science Fellow

  - Learnt in-demand technologies like Python 3, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL as well as industry best practices for exploratory data analysis (EDA), feature engineering, data collection and processing, statistical modeling, data visualization, machine learning techniques, data science process, and big data