Developed a sentiment analysis using BERT to analyze each customer review to judge that it is positive or negative review.

Analyzed the job descriptions of the data analyst roles on Indeed website using Python and NLP to present the top required skills for the data analyst positions.

Learned knowledge and techniques in Deep Learning and also related tools: Python, Pytorch, Jupyter Notebook, RNN, CNN, Reinforcement Learning, LSTM, BERT, Language Modeling

Learned techniques and tools for Web Mining and Natural Language Processing: BeautifulSoup, Selenium, Regular Expression, Text Classification, Text Clustering

Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learnin…

Learned the fundamental concepts of database management systems, emphasizing relational databases in both theory and practice.

Learned knowledge and techniques in Natural Language Processing and also related tools: Python, Pytorch, Jupyter Notebook, Google Colab, RNN, CNN, Reinforcement Learning, LSTM, Language Modeling

Developed a Hybrid movies recommendation system, using various techniques including: Collaborative Filtering, Content-Based Filtering, Singular Value Decomposition, Min-Max Normalization, Cosine Si…

Learned the fundamentals of mathematic and some techniques in machine learning: Linear Algebra, Calculus, Probability, Linear Regression, Support Vector Machine

Learned techniques and tools for Knowledge Discovery and Data Mining: R, RStudio, Classification Models

Developed a churn prediction classification model using various techniques including: EDA, Decision trees, Naive Bayes, AdaBoost, MLP, Bagging, RF, KNN, logistic regression, SVM, Hyperparameter tun…

Learned both learning and problem solving to develop statistical models for real-world AI applications

Learned Data Structures and Algorithms: Basic Programming Constructs, Data types, Search trees, Hashing, Complexity Analysis, Algorithm design, Graph algorithms, Sort algorithms

Learned basic Java Programming: Data types, Flow of control, Classes, Methods and Objects, Arrays, Exception Handling, and Recursion.

Learned basic Python programming: Program design, Algorithmic thinking, Recursion, Object-oriented programming, Interpreters, Compilers, and Data representation

Learned Computer organization and Assembly programming: Structure of program computer, Linking and Loading, Translation of high-level language, Logic design, Processor design, Data path, Hardwired …