Hello

I am an ethical and innovative data scientist and machine learning engineer with over 5.5 years of diverse industry experience. My expertise spans various sectors including retail, marketing, finance, and generative AI. Throughout my career, I have gathered and managed data from different sources and formats, utilizing my skills in creating end-to-end data pipelines. From collecting structured and unstructured data through databases, buckets, and web scraping, to cleaning it, performing feature engineering, and selecting appropriate predictive models, including hyperparameter tuning, I ensure seamless data management and analysis. I am adept at deploying models on servers such as GCP, Azure, and AWS. Additionally, I possess a strong intuition for choosing suitable machine learning and deep learning models, including BERT-based transfer learning models, tailored to address specific problem domains. I have actively contributed to the field of generative AI, working with technologies like GANs and encoder-decoder models for text generation, as well as pioneering vector databases like Faiss. As an advocate for data science, I am committed to mentoring, learning, and community engagement to enhance our collective knowledge base. My overarching goal is to merge analytics with business strategies, thereby fostering success through transformative insights.