With over 7 years of HR experience, I’ve transitioned into data science, blending my business acumen with a deep passion for data-driven problem-solving. Now certified in data science, I bring a wealth of technical skills and hands-on project experience, eager to apply data insights to complex business challenges.I have worked extensively with Python, utilizing libraries such as Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and machine learning. My expertise also includes deep learning techniques with TensorFlow and Keras, enabling me to build sophisticated models for tasks like image classification and predictive analytics. I’m proficient in SQL, which I use for querying and managing large datasets, and I leverage data visualization tools like Seaborn and Matplotlib to translate complex data into actionable insights.My projects span multiple domains, including sentiment analysis, heart disease prediction, Image Classification using CNNs, and an analysis of Covid-19 lockdown measures, Through these projects, I’ve honed my skills in machine learning, statistical analysis, and data modeling, achieving impactful results such as high accuracy predictions and clear visual insights.I’m also interested in exploring how data science can intersect with wellness, especially Ayurvedic practices, to provide new insights into health trends. My unique combination of HR expertise, technical knowledge, and curiosity about data-driven health solutions positions me to solve problems from a holistic perspective.Let’s connect if you're looking for a data scientist skilled in:Python (Pandas, NumPy, Scikit-learn)SQL (database querying and management)Deep Learning (TensorFlow, Keras)Machine Learning (Model building, Evaluation)Data Visualization (Seaborn, Matplotlib)I’m eager to take on new challenges and help drive meaningful business outcomes through data analysis and machine learning.