I am an applied mathematics student with the love for data science, machine learning, and the passion for solving challenging problems with AI
Collaborative research with Dr. Adrián Pastor López in predicting the author’s gender and language variety by processing raw Twitter data. Achieve 80% accuracy for gender predict and 84% accuracy for language variety. Experimenting with different NLP models such as Linear Kernel SVM, Pytorch, BERT, Neural Network
Formulated metaheuristic with Dr.Chew, a method to provide optimal solution with incomplete information within acceptable time. Especially useful for neural network training. Achieved 10-6 accuracy when tested on multidimensional functions. Skills: MATLAB, metaheuristic methods
Authorized more than 30 articles on topics of Natural Language Processing, web scraping, data science tools, and mathematical programming with more than 110k views a month. Simplified complex mathematical and programming concepts with insights and interactive visualizations. Skills: Communication, creativity, analysis, in-depth knowledge in programming, statistics, and data science tools
Guided more than 10 students to get from C to A grade in statistics and mathematics courses within 2 months. Effectively communicate to those who have little understanding of the subjects with confidence and clarity. Skills: Communication, listening, good understanding of mathematics and statistics.
Led a class of 60+ students from different learning backgrounds to master calculus knowledge. Devised strategic plans with other leaders and professors to deliver complex concepts in comprehensible ways. Skills: Leadership, verbal communication, collaboration, knowledge in advanced mathematics
This section contains awesome projects that I've developed:
Utilize integer optimization to find the most effective schedule and maximize productivity.
Integer Programming PuLP Python NLP
Experiment with 3 different ML models and achieve f1-score of up to .81 for gender prediction and .84 for language variety
Python NLTK Word2Vec Tf-Idf Bag of Words GridsearchCV LinearSVC
Use Beautiful Soup to extract the data, preprocessing with scikit-learn and NLTK, visualizing with Matplotlib
Python text precessing beautiful soup data mining nltk matplotlib
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