Year: 2025

Skills: Experimental Design, Web Scraping, Data Processing, Supervised Learning Hyperparameter Tuning, Git

Language Used: Python (XGBoost, Keras, Optuna, Scikit-Learn, BeautifulSoup)

Models Used: GBM, Multilayer Perceptron

Year: 2023

Skills: Experimental Design, Data Processing, Supervised & Unsupervised Learning , Data Augmentation, Hyperparameter Tuning, Visualization

Language Used: Python (NumPy, Pandas, Matplotlib, Scikit-Learn)

Models Used: ANN, KNN, SVM, Logistic Regression, Naive Bayes, Gradient Boosting, K-Means

Year: 2021

Skills: Experimental Design, Statistical Testing, Visualization

Language Used: R (ggplot2)

Year: 2023

Skills: Experimental Design, Data Processing, Supervised Learning, Hyperparameter Tuning, Visualization, UI/UX Design

Language Used: Python (NumPy, Pandas, PySpark, Scikit-Learn, SciPy, Flask), Javascript, HTML/CSS 

Models Used: GLM, Random Forest, Gradient Boosting, ANN

Year: 2023

Skills: Experimental Design, Data Processing, Supervised Learning, Data Augmentation, Hyperparameter Tuning, Visualization

Language Used: Python (NumPy, Pandas, PyCaret, Selenium, Scikit-Learn, Seaborn)

Models Used: Gradient Boosting, Decision Tree/Random Forest, Discriminant Analysis, Logistic Regression, Naive Bayes