Having graduated from M.Sc. Data Science, I find my passion in data, statistics, and computer science. Being in possession of solid knowledge and proficient skills in data analysis and computer programming, I am confident and motivated when facing new challenges during my study and work. When problems arise, I am persistent to push for the best results while being prudent to recognize the limits of potential solutions. My Bachelor's degree in engineering laid the foundation of my multidisciplinary background, the experience from which enables me to utilize transferable skills and think from different perspectives with high adaptability.
R, Logistic Regression, Ridge, Lasso, Naive Bayes, Support Vector Machines, Random Forests, Neural Networks, Principal Component Analysis, etc.
R, Python, NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-Learn, Linux, Decision Trees, Random Forests, Rule-Based Models (e.g. Scalable Bayesian Rule Lists & Falling Rule Lists), etc.
R, SPSS, Mixed-Eﬀect Models, Ordinal Logistic Regression Models, etc.
Python, NumPy, Pandas, SciPy, Matplotlib, Matrix Factorization, MinHash, Locality Sensitive Hashing, etc.
Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, Keras, OpenCV, CNN, RNN, LSTM, Bayes Classifiers, Multi-class Perceptrons, etc.
Backpacking, photography, fitness and cooking.