Cashier Customer Learning Intern

Duy Nguyen

Mobile: 096*******

Email:************@*****.***

LinkedIn: www.linkedin.com/in/tanduy79

Objective

Results-driven and highly motivated Computer Engineering student with a strong passion for machine learning. Seeking a Machine Learning Intern position to apply and further develop skills in AI/ML system design, mathematical modeling, and statistical analysis.

Education

Thu Duc City

University of Technology and

Education

Winter 2019 – Present

(Expected Graduation, May 2024)

Pursuing Bachelor’s degree in Computer Engineering.

Graduate Coursework: Statistics for Engineers, Data Structures and Algorithms, Database Systems, Machine Learning, Data Mining, Data Visualization Artificial Intelligence; Python for Data Analysis; Calculus for CE; Advanced Mathematics for Computer Engineering; Internet of Things Foundations and Applications.

Undergraduate Coursework: Internship Program; Advanced Topics in Computer Engineering.

Technical Experience

Projects

Human activity recognition (2022). Developed a machine learning model using Tensorflow, Keras and Numpy libraries to recognize human activities such as walking, running, sitting and standing.

Apply Pandas for Data preparation (2023). Conduct data cleaning, transformation, and analysis using Python and Pandas to extract actionable insights and improve data quality.

Predicting customer churn using XGBoost algorithm (2023). Developed a machine learning model using XGBoost algorithm to predict customer churn for a telecommunications company. Applied SQL for data preprocessing and Python for model building and evaluation.

Additional Experience and Awards

Award for English Excellence (2016): Received the English Excellence award for achieving a score of 8.7/10 in the school-wide English competition at THPT Tuy Phuoc 1.

Data Science Capstone Project (2022): Collaborated with a team of four to develop a machine learning model to predict customer churn for a telecom company, achieving an accuracy of 90%. Used Python, Pandas, NumPy, Scikit-Learn, and Tableau for data analysis, modeling, and visualization.

Data Analytics Bootcamp (2021): Completed a 12-week bootcamp covering SQL, Python, data visualization, statistical analysis, and machine learning. Developed and presented a project on predicting bike rentals using regression analysis and Tableau.

Objective

Cashier Customer Service,Part time

Domino’s

February 2021 – July 2021

Handled cash and credit card transactions, ensuring accuracy and accountability.

Assisted customers with purchases, product information, and returns.

Resolved customer complaints and concerns in a timely and professional manner.

Maintained a clean and organized store environment, restocking inventory as necessary.

Languages and Technologies

Proficient in AI/ML system design and mathematical and statistical modeling.

Visual Studio; Microsoft SQL Server; Eclipse; XCode; Interface Builder

C++; C; Python; SQL; basic HTML, CSS, and JavaScript.

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