I am a Data Science enthusiast with a strong foundation in Machine Learning, Deep Learning, Data Analytics, and Business Intelligence. I am passionate about leveraging data to uncover insights, solve complex problems, and build intelligent solutions that create real-world impact. My experience includes developing projects in Machine Learning, Deep Learning, Data Visualization, Predictive Analytics, and Business Intelligence using tools such as Python, SQL, Power BI, TensorFlow, Scikit-Learn, Pandas, and NumPy. I enjoy working across the complete data science workflow, from data collection and preprocessing to model development, evaluation, and deployment. I continuously enhance my technical expertise through hands-on projects, industry-relevant learning, and practical implementation of modern data science techniques. My focus is on building scalable, data-driven solutions while staying updated with emerging trends in Artificial Intelligence and Analytics. I am open to opportunities where I can contribute, learn, and grow in the fields of Data Science, Machine Learning, Artificial Intelligence, and Data Analytics.
Data Science | Machine Learning | Deep Learning | Artificial Intelligence | Python | SQL | Power BI | Data Analytics | Data Visualization | Exploratory Data Analysis (EDA) | Predictive Modeling | Feature Engineering | TensorFlow | Scikit-Learn | Pandas | NumPy | Streamlit | Model Deployment | Linear Regression | Logistic Regression | Decision Trees | Random Forest | Gradient Boosting | XGBoost | Neural Networks | CNN
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