Master’s graduate in Advanced Data Analytics from the University of North Texas with 3+ years of experience in data-driven roles and hands-on expertise in Python, SQL, Tableau, and ensemble machine learning. Completed a real estate capstone project predicting NYC property sale prices using Random Forest and Gradient Boosting. Google-certified in Data Analytics with strong capabilities in EDA, feature engineering, and predictive modeling. Actively seeking full-time roles in data analytics, data science, or related IT domains.
Programming/Tools: Python (pandas, NumPy, scikit-learn), SQL, R (basic), Tableau, Power BI, Excel (advanced formulas, dashboards)
Databases: MySQL, PostgreSQL
ML Techniques: Regression, Random Forest, Gradient Boosting, Feature Importance, SHAP
Data Prep & EDA: Data Cleaning, Log Transformation, Imputation, Outlier Detection, Visualization
Other: Git, Jupyter Notebook, SMOTE, Time-Series Grouping
Google Data Analytics
My SQL Boot Camp
IBM Data Analyst Professional Certification
Google Data Analytics