Hi!
I'm Song Nguyen (Steven)
Data Analyst, Clinical Informatics at Molina Healthcare
As a Vietnamese man currently living in Oregon, I bring a unique blend of global perspective and cultural awareness to my work as a Data Analyst.
With 3 years of experience in the data field - spanning both Data Engineering and Analytics - I'm currently pursuing a Master's degree in Computer Science at Oregon State University, specializing in Data Science and Engineering.
SKILLS
Devops
Databases (Databricks, Microsoft SQL Server, Snowflake, Azure Studio)
Azure DevOps
Big Data (Spark | Hive)
AWS
EPIC
Data Analytics
Visualization (Tableau | Power BI)
Microsoft Fabric
Excel
Statistical Methods
Machine Learning
Python (Jupyter Notebook)
R
EDUCATION
Master of Computer Science at Oregon State University
Data Science and Engineering
2025-2027
Bachelor's Degree in Information and Decision Sciences at University of Illinois-Chicago
Business Analytics, Dean's List
2018-2022
Honors College - University of Illinois-Chicago
2019-2022
PL-300: Microsoft Power BI Data Analyst Certification - Microsoft
DP-900: Microsoft Azure Data Fundamentals Certification - Microsoft
Statistics for Data Science and Business Analysis - Udemy
Google Data Analytics Professional Certification - Coursera
EXPERIENCE
July 2022 - October 2023
Data Engineer - BeaconFire Inc
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Design and implement Power BI dashboards to conduct analysis to support business decision-making.
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Perform data extraction, manipulation, and production from database tables on Snowflake.
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Utilized Python to forecast cost, graphical visualization, and contact correlation based on green energy.
January 2020 - May 2020
Data Analyst Intern - American Marketing Association
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Address senior managers' data requirements, and leverage the company using Microsoft SQL and Excel.
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Built statistical inference and graphical visualization using Python for core business KPIs.
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Suggest promotion ideas for small businesses based on Tableau dashboards to attract customers.
August 2019 - May 2022
Honors College - University of Illinois at Chicago
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Specialized topics-based courses, and lectures for undergraduate research.
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Opportunity to gain scholarships and grant funding.
October 2023 - Present
Analyst II, Clinical Informatics - Molina Healthcare
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Develop and optimize store procedures in Microsoft SQL Server to enhance data querying efficiency.
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Establish a streamlined data workflow with SSSIS, and facilitate daily updates on reports to the NP Manager.
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Migrate reports from SSRS to Power BI, scrutinize patient information in EPIC, and provide precise data to different providers.
August 2020 - December 2020
Data Analyst Intern - Upkey
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Collect data using key financial statements, calculated field from finance team and stored in Excel.
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Report daily trading model's accuracy using Tableau to create calculated columns and dashboards.
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Collaborate with the UX team to develop an analytics web app to provide insights data for customers..
December 2022 - May 2022
UIC Campus Recreation - Member Services Representative
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Manage databases and patron's information using DCR and CSI platforms to control and support memberships.
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Assist professional staff with patron inquiries.
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Analyze data of patrons, ensure safety and security by enforcing facility policies.
August 2018 - May 2022
University of Illinois at Chicago
Bachelor of Science, Information and Decision Sciences, Business Analytics, Dean's List.
Honor's College
MY LATEST PROJECTS
Layoffs 2020-2023 Exploratory Data Analysis (Python)
Investigating Global Layoffs and their impact, analyze the impact of mass layoffs and economic downturns globally. The project aims to provide insights into the global nature of layoffs and help understand the magnitude of their impact.
New York City Airbnb Market in 2019 (Python, Tableau)
The project analyzes data from the NYC Airbnb dataset, provide comprehensive insights into the Airbnb industry in New York City, and allow users to gain a deeper understanding of the market and make informed decisions when selecting accommodations.
Bitcoin-Cryptocurrency Market Analysis (Python)
The project utilizes pandas.Dataframe.plot() and the Axes API in matplotlib, my goal is to keep it readily accessible in a separate tab using data manipulation. Data collected on the 6th of December, 2017 when Bitcoin has a market capitalization above $200 billion.
