Hi! I’m Whisker Nova, a data scientist with a strong background in machine learning, statistics, and data-driven problem solving. I’m passionate about transforming complex datasets into clear, actionable insights that help organizations make smarter decisions. I have hands-on experience with data preprocessing, exploratory data analysis, feature engineering, and building predictive models using algorithms such as regression, decision trees, ensemble methods, and deep learning architectures. My technical toolkit includes Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib), SQL, and visualization tools like Power BI and Tableau. I also work with big data technologies such as Apache Spark when dealing with large-scale datasets. My focus areas include: 📊 Exploratory Data Analysis (EDA): uncovering trends and hidden patterns 🤖 Machine Learning & Predictive Modeling: turning data into intelligent systems 📈 Data Visualization & Storytelling: communicating insights that drive strategy 🧠 AI & Deep Learning: applying neural networks for NLP and image recognition tasks I take pride in connecting data science with business outcomes — ensuring every model or insight contributes to real-world impact. Collaborating with cross-functional teams and continuously learning emerging technologies keeps me motivated and creative.