- Developed and maintained SQL database systems, improving data retrieval efficiency by 25% and enhancing readability for user experience.- Conducted data quality evaluations with a team of 6, reducing discrepancies by 15% through coding corrections and performance analysis.- Applied data cleaning, transformation, and feature engineering for high-quality data inputs in predictive models.- Analyzed complex data sets using Python, enhancing predictive accuracy by 20%.- Created interactive dashboards with Power BI, facilitating data-driven decisions. Interpreted and analyzed statistical data using Python, providing insights that improved operational efficiency and strategic decision-making.

- Experienced in leveraging Microsoft Azure for cloud-based solutions, including deploying machine learning models, managing data pipelines, and utilizing Azure's AI and machine learning services.- Developed and optimized algorithms for regression, classification and ensemble methods. Enhanced model accuracy via cross-validation, hyperparameter tuning, and Least Absolute Shrinkage and Selection Operator (Lasso).- Applied Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for dimensionality reduction, improving computational efficiency and model performance.- Executed comprehensive feature engineering processes including missing value treatment, outlier handling, data transformation, and feature selection using Python packages like NumPy, Pandas, and Scikit-Learn.- Utilized data visualization tools such as Matplotlib, Seaborn, Tableau to present data insights clearly and effectively.- Leveraged Gradient Descent techniques and implemented regularization methods such as Ridge, Lasso, and ElasticNet to improve model performance.- Designed and implemented neural networks, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and LSTM networks, optimizing loss and cost functions using advanced libraries like TensorFlow, Keras, OpenCV, and NLTK.- Conducted image processing, object detection, text analysis, and tokenization, contributing to projects involving computer vision and natural language processing.