Skills
Technical Skills: Python, Microsoft Excel, Microsoft Word
Tools & Libraries: Pandas, NumPy, Scikit-learn, XGBoost, Matplotlib, Jupyter Notebook, Google Colab, Power BI, Tableau
ML & Data Analysis Techniques: Linear & Logistic Regression, Decision Trees, Random Forest, XGBoost, K-Means Clustering, PCA, Model Evaluation (Accuracy, Precision, Recall, F1 Score, AUC-ROC)
Soft Skills: Gracious and approachable, customer-centric, adaptable, collaborative, conflict resolution, self-driven, highly efficient, project administration
About
Ambitious Artificial Intelligence and Data Analytics graduate with a strong foundation in statistical modeling, machine learning, and programming (Python, SQL, MATLAB). Proficient in tools like Power BI, Tableau, Jupyter Notebook, and Elasticsearch. Skilled in techniques such as regression, classification, clustering, and model evaluation using libraries like Pandas, Scikit-learn, TensorFlow, and XGBoost. Demonstrates strong analytical thinking, attention to detail, and a commitment to high-quality analysis.
Bringing diverse experience across customer service (McDonald’s, Domino’s), technical support (Macrosoft), food production, restaurant roles, and care work—showcasing adaptability, teamwork, and problem-solving in fast-paced environments. Now seeking a junior data analytics role to apply skills and support data-driven decision-making.