Gurjus Singh

Clinical Application Coordinator

Oroville Hospital•  December 2018 - January 2022

• Improved workflow by creating 113 Visio Workflow Diagrams, including for EEG, Samsung Ultrasound, DICOM server, and other medical devices, used by 25 technicians; presented and gained buy-in from the Chief Information Officer • Ensured data for 3,000 prescriptions delivered to pharmacy in a timely manner 99% of the time; communicated with local pharmacies to ensure the e-prescribe functionality • Wrote reports using SQL database to provide doctors with business intelligence to improve patient outcomes. • Oversaw 2M digital images (DICOM) flow to patient records and troubleshoot to expedite treatment plans; patch HL7 Messages (Mirth Connect) for provider notes in Electronic Medical Records (EHR: Tenzing Medical & VistA) • Monitored hospital IT (Microsoft Servers; Linux Systems; GT.M Database; VM Ware) & Electronic Health Record systems including system load and database space, communicated with providers and IT consultants to ensure the applications rarely had issues and were corrected quickly • Wrote reports using SQL (Postgres) database, Microsoft Excel and Microsoft Access to provide doctors with business intelligence to improve patient outcomes. Excelled at using Microsoft PowerPoint for presenting data to providers • Used Excel for data entry such as for tracking database performance metrics and prescriptions sent to pharmacy

Northwestern University

Data Science, MS•  January 2020 - June 2021

Relevant Coursework: Database Systems and Data Preparation (SQL; Python – Packages: Pandas; Entity-Relationship Diagrams; Elastic Search; Jupyter Notebooks); Math for Data Scientists; Applied Statistics with R; Foundations of Data Engineering (Python – Packages: Numpy; Data Structures & Algorithms); Practical Machine Learning (Python – Packages: Sklearn, Tensorflow, Matplotlib, Pandas; Principal Component Analysis; K-Means Clustering); Decision Analytics (Excel; Python – Packages: Gurobi); Artificial Intelligence & Deep Learning (T-SNE; Python – Packages: Tensorflow, Keras, Pandas); Business Leadership and Communications (Project Management; Agile Methodologies; Waterfall Approach, Leadership Principles), Natural Language Processing (Python – Packages: NTLK, Gensim, spaCy, Tensorflow, Sklearn; K-Means Clustering)

University of California, Berkeley

Cognitive Science, BA•  January 2015 - August 2018

Relevant Coursework: Structure and Interpretation of Computer Programs (Python; Scheme; SQL); Data Structures & Algorithms (Java; Unit Testing; IntelliJ; Git Version Control); Calculus I and II; Multivariable Calculus; Linear Algebra & Differential Equations; Discrete Mathematics; Computation Models of Cognition (Python – Packages: Numpy, Pandas; Jupyter Notebooks; K-Means Clustering); Introduction to Logic (Boolean Logic); Social Media/Virtual Communities