Github: [login to view URL] Technical Skills • Programming & Scripting: R, Python • Statistical Analysis: T-test, Chi-square test, ANOVA, Regression modeling • Data Visualization & EDA: Bar plots, Histograms, Scatterplots, Box plots, Candlestick charts, Principal Component Analysis (PCA), Exploratory Data Analysis (EDA) • Machine Learning & Deep Learning: Linear/Logistic Regression, Random Forest, Decision Trees, K-Means Clustering, KNN, SVM, XGBoost, Naïve Bayes, Recommendation Systems, Time Series Forecasting, Spatial Analysis, LSTM, Image Classification Models (CNNs, Transfer Learning), Image Segmentation Models (U-Net, Mask R-CNN) • Natural Language Processing (NLP): Word Clouds, Sentiment Analysis, Text Preprocessing & Classification • Web Scraping & Automation: Rvest, RSelenium, Selenium, BeautifulSoup • Business Intelligence & Dashboarding: Power BI (DAX, Power Query, Interactive Reports), Tableau (Advanced Visualizations, Storytelling Dashboards), Shiny Apps, Flexdashboard • Data Reporting & Communication: Automated Reports, Interactive Dashboards, Storytelling with Data