Data Analysis Machine Learning

Sean Nguyen

***** ****** **,

Westminster, CA ***83

714-***-**** ***********@*****.***

Objective:

Detail-oriented Statistics graduate with proficiency in R, SAS, SQL, and Excel, seeking opportunities to apply analytical skills and statistical knowledge in data analysis, modeling, and visualization. Experienced in regression modeling, time series analysis, and data cleaning. Eager to leverage expertise in statistical processes and leadership abilities to contribute effectively to data-driven decision-making processes. Education

University of California, Riverside, CA

Bachelor of Science in Statistics

Relevant Coursework:

● Statistical Methods

● Probability Theory

● Regression Analysis

● Time Series Analysis

● Data Mining and Machine Learning

● Statistical Computing

● Statistical Consulting

Skills:

● Proficient in R, SAS, Excel for statistical analysis, modeling, and data visualization

● Strong command of regression modeling, time series analysis, ANOVA, and MANOVA

● Experience with big data processing, data cleaning, transformation, and reporting

● Knowledgeable in Python and SQL for data analysis and manipulation

● Excellent problem-solving and analytical abilities

● Effective communication and leadership skills

Professional Experience

Freelance AI Trainer Sep 2023 - Current

DataAnnotation Remote

● Trained artificial intelligence models to produce safe and helpful responses to user request

● Implemented natural language processing technique to enhance the accuracy and relevance of AI-generated responses

● Evaluated and iteratively improved AI models based on user feedback and performance metrics

Drink Cook Trainer Feb 2021 - May 2023

7 Leaves Cafe Riverside

● Demonstrating strong learning abilities, care for product, and leadership skills

● Conducted training sessions for new hires on safety and product quality

● Maintained detailed training records and provided accurate trainee evaluations

● Facilitated communication between managers, district managers, corporate trainers, and trainees

● Implemented Microsoft Excel to optimize sales tracking and reduce waste Projects

1. Genetic Loci Analysis on Mouse Activity Levels

● Applied data transformation and statistical modeling techniques to analyze data using SAS and SQL to analyze the data

● Generated and compared general linear models and generalized linear mixed models to test significance differences between various factors

● Conducted Cross-validation of models to compare accuracy

● Conducted ad hoc analysis and reported conclusions based on statistical findings

● Outcome: Discovered set of factors examined did not have a significant effect on activity levels, as captured by both models 2. Time Forecasting Analysis

● Conducted an individual project on time forecasting analysis using price dataset from SAS

● Implemented statistical forecasting techniques and exploratory data analysis using R and SAS

● Used various tests to ensure that all conditions, such as stationarity, were satisfied

● Utilzied ad hoc analysis, such as residual analysis, Akaike information criterion, and Schwarz’s Bayesian criterion, to determine the best-fitted model

● Created a forecast graph displaying the dataset and future sales based on current values with a 95% confidence level

● Drafted a comprehensive report and presented findings to an audience

Certifications

● Eagle Scout, Boy Scouts of America (2018)

● SQL Fundamentals (Dataquest)

● Introduction to Data Analysis with Excel (Dataquest)

● Python Basics for Data Analysis (Dataquest)

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