Artificial Intelligence student with hands-on experience in Machine Learning, Data Analysis, and Big Data. Skilled in Python, Pandas, NumPy, Scikit-learn, SQL, PySpark, Apache Spark, and Databricks for data preprocessing, EDA, feature engineering, predictive modeling, and model evaluation. Completed professional Big Data training and developed a capstone project on the US Accidents dataset (7.7M+ records), performing large-scale data cleaning, transformation, visualization, and predictive analytics. Built ML projects using SVM, Random Forest, Gradient Boosting, Decision Trees, Linear Regression, and K-Fold Cross Validation. Experienced in front-end and cross-platform application development using HTML, CSS, JavaScript, Angular, and Flutter. Developed FitLife, a fitness platform for BMI, nutrition, calorie, and health tracking, and Coachly, an AI-powered fitness assistant delivering personalized workout plans and nutrition guidance. Passionate about building scalable AI-driven solutions, solving real-world problems, and continuously expanding my expertise in AI, Data Engineering, and Software Development.