A highly motivated and detail-oriented Data Science student with strong skills in data analysis, data visualization, and machine learning. Passionate about solving real-world problems through data-driven solutions. A quick learner, strong communicator, and a collaborative team player. Proficient in: Programming Languages: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), SQL Data Analysis & EDA: Exploratory Data Analysis, Data Cleaning, Data Preprocessing Statistical Analysis: Hypothesis Testing, Correlation Analysis, Descriptive & Inferential Statistics Machine Learning: Supervised and Unsupervised Learning, Model Evaluation, Feature Selection Data Visualization & Dashboards: Interactive Dashboards using Excel, Power BI, and Python (Jupyter NoteBook) Projects: Titanic Survival Prediction, Heart Disease Analysis, Customer Segmentation, FIFA Players Data Analysis Tools & Platforms: Jupyter Notebook, Google Colab, GitHub, Excel Always eager to learn and apply new technologies and methodologies to gain deeper insights and deliver impactful data solutions.