Data Analyst Machine Learning

VY NGUYEN

Data Analyst

***********@******.** ***-(341)-6298 Spokane, Washington

PROJECTS

Dog Adoption Analysis Project

Conduct a comprehensive analysis of dog adoption patterns and trends to identify factors influencing adoption rates, with the goal of increasing adoptions and reducing shelter overcrowding and euthanasia rates.

Analyzed 5 years of dog adoption data to identify key factors driving adoption. Provided recommendations projected to increase adoption rates by 20% and reduce euthanasia by 35%.

Group project: Healthcare Access Index Project

Constructing a Healthcare Access Index that measures the extent of healthcare access and equity within different regions. The index will be designed to encompass a range of factors related to healthcare availability, affordability, and quality, offering a comprehensive view of regional health disparities

Created Healthcare Access Index incorporatig 6 key metrics of access and equity. Index adopted by county to direct $1.2M in funding to underserved areas. Presented findings to city council in Spokane. Crime Analysis Project

Providing recommendations for detecting problems to use machine learning techniques to help identify crime hotspot and forecasts crime prediction to warn before crime happens.

Developed machine learning model to predict crime hotspots, with 88% accuracy in forecasting violent crime for recomendations. Crypto Currency Dashboard

Designed interactive Power BI dashboard comparing performance of 25 top cryptocurrencies

Integrated real-time data from multiple APIs and exchanges SQL Injection Attack

Attempted SQL injection attack on MSSQL.

Observed and explained the potential consequences on such attack Oracle Select Web Page

Created JSP web page to retrive data from Oracle database OBJECTIVE

I am passionate about data, cloud

technology, blockchain, and the way

ongoing innovation can generate enduring

business value. Continuous learning and

reading help me stay rooted. Seeking an

opportunity to apply analytical skills and

leveraging data insights, automation, cloud

technology, and machine learning to drive

business value.

EDUCATION

Bachelor of Science

Data Analyst (December 2024 )

Eastern Washington University

Spokane, WA

Relevant courses

MISC 485 - ADV DATABASE APPLICATIONS

DEV ; MISC 374 - SPREADSHEET MODEL

FOR BUS APP ; DSCI 353 - DATA

MANAGEMENT CLEANING ; Machine

Learning-APPLIED DATA SCIENCE; Database

Management

SKILLS

Technical skills

Programming: SQL, R, Python, Java, C++

Databases: MongoDB, MySQL, Apache

Hadoop/ Oracle / MSSQL Server, SAS,

Salesforce, PL/SQL

Analytics: A/B Testing, Statistical Analysis,

Machine Learning, Predictive Analysis

and Modeling.

BI Tools: Tableau, Power BI, Excel,

Minitab, SAS, Microsoft Power BI

Web: HTML, CSS, JavaScript, React

Cloud: AWS, Azure, Azure Databricks

Inventory and Sales Analysis

Identify most popular brands sold at each store using SQL Determine out-of stock products at each store and opportunities for inventory allocation.

Analyze low stock product catagories and best selling catagories per store.

WORK EXPERIENCE

Pho Saigon

March 2017- June 2020 Spokane Valley, Washington

Managed orders and service in fast-paced environment Doordash

May 2019 - December 2020 Spokane, Washington

Completed 150+ on-time deliveries with 97.5% order accuracy LabCorp (Lab Assistant I)

Mindlance (1-month Contracted Assignment with LabCorp) November 2024 - December 2024 Spokane, WA

Processed biological specimens and entered data accurately to ensure compliance with laboratory standards and protocols. Maintained high productivity in a fast-paced environment, meeting or exceeding daily sample-processing goals.

Collaborated effectively with team members to streamline workflows and support laboratory operations.

Adhered to safety protocols and laboratory best practices to maintain a clean and efficient work environment.

Gained experience working with laboratory information systems and handling sensitive biological materials.

Data Lakes, Data Engineering, Machine

Learning, Machine Tools

Statistical Modeling and Data Modeling.

Additional Skills

Scientific Writing

Data extraction/ Data mining

Building and validating models

design and implement machine learning,

deep learning and statistical models to

optimize.

Strong analytical mindset with a focus on

problem-solving.

Proficient in statistical analysis and data

manipulation/ testing/ tuning models

Proficient in Excel and R

Familiarity with programming languages

Experience with data visualization tools

and reporting

Excellent communication and teamwork

skills developed through group projects

and presentations

Team player and collaboration

Loves helping people.

Conducting research using latest and

emerging modeling techs and tools

(Deep Neural Networks RNN, LSTM, etc.)

Contact this candidate