Aspiring Data Analyst / Data Scientist actively seeking opportunities to apply strong analytical, technical, and problem-solving skills in a dynamic, data-driven environment. Proficient in SQL, Python, Power BI, Tableau, and Excel, with hands-on experience in backend data validation, machine learning, and real-time support systems. Experienced in executing end-to-end projects involving data preprocessing, modeling, and visualization. Eager to contribute to impactful solutions through data-driven insights and continuous learning.
Programming Languages: Python, SQL, PL/SQL, JavaScript (Basic), VBA
Libraries & Frameworks: NumPy, Pandas, scikit-learn, TensorFlow (Basic)
Machine Learning Models: Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Means Clustering, Neural Networks (CNN)
Data Visualization Tools: Tableau, Power BI, Microsoft Excel (Advanced), Minitab
Technologies: RapidMiner, Microsoft Access, MyMRP, CPLEX, PyShark
Databases: MongoDB, SQL Server, NoSQL
Version Control: GitHub
Operating Systems: Windows