Duong Quoc Chanh

Data Scientist Fresher

**/**/****

Male

039*******

https://www.linkedin.com/in/chanh-duong-502189188/ ady1eb@r.postjobfree.com

29th road no. 43, Binh Thuan, Dict. 7, Ho Chi Minh City CAREER OBJECTIVE

• Apply knowledge about Statistic and Machine Learning into practice.

• Collect more knowledge to accumulate experiences.

• Learning more experiences from good managers.

• Being able to work in a dynamic, modern environment to promote my abilities. SKILLS

Programing

languages

• Have good Python skills

• Experience in processing and modeling data with Python libraries (numpy, pandas, matplotlib, seaborn, keras,cvxopt,featuretools..)

• Programming with C/C++

Algorithm

skills

• Having knowledge about Machine Learning and Data Mining algorithms:

- Regression: Linear Regression, SVM Regression,Random Forest Regression,…

- Classification: Logistic Regression,Naïve Bayes,PLA,Decision Tree,Random Forest,SVM,KNN

- Clustering: K-Mean clustering, Hierarchical clustering

- Dimension reduction: PCA, LDA, t-SNE

- Decision tree: ID3, Random Forest

- Ensemble Learning

- Optimization: Gradient Descent, Convex Optimization...

- Metrics: MAE, MSE, RMSE, Accuracy, Precision, Recall, F1 Score

- Basic knowledge of Neuron Network: Multilayers Neuron Network,activation function(sigmoid,ReLu,tanh..),back propagation,..

• Basic knowledge of Recommendation systems

• Understanding about Mathematics: Linear Algebra, Calculus, Statistics & Probability

• Basic knowledge of Deep Learning :

-CNN …

-RNN,LSTM.

-GAN,DCGAN,CGAN,cycleGAN…

Some Project

• Predict product sales in outlets from some features such as Item weight, Item fat, Item visibility, or outlet type, outlet size...

• Predict a patient has diabetes or not from some features: glucose, blood pressure, insulin, BMI, age ...

• Predict the tendency of customers to abandon a brand and stop being a paying client of a particular business(Customer Churn) from some features: total day calls, total day minutes, total day charge, total eve calls, total night minutes...

• Predict a passenger is survived or not in titanic disaster from some features: Sex, Age, Ticket, Fare, Cabin, Embarked place...

• Clustering customers from a supermarket's data with information such as Age, Genre, spending money, spending score,..

• Model building, training, and testing in MNIST, cifar10 dataset with some architecture CNN such as AlexNet, VGG16…

• …

EDUCATION:

09/2017 -

06/2022

Ho Chi Minh University of Science

Faculty of Mathematics and Computer Science

Major: Data Science

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