I’m a passionate Data Scientist with expertise in machine learning, deep learning, and data analysis. Skilled in leveraging Python, SQL, and cloud-based tools like Google Cloud and BigQuery, I aim to drive real-world business impact through data-driven experimentation and advanced analytics. With hands-on experience in deploying machine learning models in cloud environments and developing solutions for industries like fintech and pharmaceuticals, I have a strong analytical mindset and a track record of delivering actionable insights.I’ve worked on projects like Car Price Prediction and Portfolio Optimization, where I’ve optimized machine learning models, developed self-service dashboards, and focused on predictive analytics. Currently, I am researching QSAR models for drug discovery, utilizing tools like RDKit and FastAPI for backend development and cloud architecture.My experience in deep learning, especially with TensorFlow, PyTorch, and Keras, combined with my ability to translate complex findings into clear recommendations for stakeholders, enables me to solve complex problems efficiently. I am always eager to learn, improve, and help organizations leverage the power of data for better decision-making.Key Skills: Data Science | Machine Learning | Deep Learning | Cloud Computing | Data Visualization | Statistical Analysis | Python | Google Cloud | SQLLooking to connect with like-minded professionals passionate about driving innovation through data!