Technical Skills
Programming languages: C/C++, Java, Python,
HTML, CSS, SQL, SQL Server
IDE & technologies: Jupyter, Colab, Visual
Studio Code, Netbeans, Codeblocks, GIT
Basic knowledge of data analysis and
visualization tools such as PowerBI, Tableau,
Looker, Google Data Studio
Familiar with Python and its packages such as
Numpy, Pandas, Scikit learn, Matpplotlib,
Seaborn, Tensorflow, Keras
Knowledge of Machine Learning algorithms
(Linear Regression, KMeans, SVM, k-NN…)
Knowledge of AI/Deep Learning problems in
Computer Vision and NLP such as CNN, RNN,
LSTM, GRU…
Personal Understanding Skills of data warehouse structure Good communication skills
Teamwork and independent working
High responsibility
Strong problem-solving skills, strong
adaptability and capacity to work in a fast-
paced environment
ĐẶNG NGUYỄN NHÃ UYÊN
Data Analyst
Ex-SEO/Digital Marketing professional transitioning into a Data Analyst role after completing FPT FUNiX Data Science Bootcamp. With a strong eager to learn and grow attitude, I am currently seeking for an opportunity to become a Data Analyst and a Data Scientist in the future.
General Info
DoB: 04/11/1994
Phone: 098*-***-***
LinkedIn: linkedin.com/in/uyendnn
GitHub: github.com/aliciadang
Email: ***********@*****.***
English profiency: IELTS 6.5
Education
FPT FUNiX Academy – Certificate of Data Science
- Deep learning for Data science
- Machine learning for Data science
- Data Analyst with Python
Viet Nam National University HCMC
University of Information Technology Degree of Bachelor Information Technology – 2023 (year to be graduate) University of Finance and Marketing Degree of Bachelor Business Administration – 2017
Experience
2017 – 2022
Search Engine Optimization – Digital Marketing Analyst
• Batdongsan.com.vn - PropertyGuru Vietnam
• Clever Pro
• GTVSEO
Provided marketing insights by analyzing data aggregated from various web analytic packages such as Google analytics, stat counter to provide a holistic analysis of customer behavior and website experience thus increasing conversion ratios. My Projects
European football analysis - bit.ly/3g2I6NW
Do analysis including exploring the dataset, basics statistics and visualizing the result using SQL statement to query in the database. Analyze COVID-19 data - bit.ly/3esfBZx
Analyze the cumulative data of confirmed, deaths, and recovered cases over time of COVID-19 pandemic.
Predict the number of people admitted to American College - bit.ly/3yznZ08
Analyze data of universities and colleges in the US, building a linear regression model with all features to observe the impact of each feature on the target.
Predict Arizona type 2 diabetes status - bit.ly/3ClsEns Use kNN, DecisionTree, SVM, Logistic Regression, Shallow Neural Network to build models to predict whether a patient has diabetes according to their health information.
IMDB Movie Recommender System - bit.ly/3RU9qeq
Create a movie recommendation system that takes user input of one movie and utilizes a rich dataset of movie titles, ratings and user information to output a recommended movie.