I am Anish Krishnan, an accomplished Data Scientist with over three years of specialized experience in building advanced machine learning models, particularly in Image Recognition and Natural Language Processing (NLP).
My journey in the field of data science has equipped me with a robust skill set that includes data pipeline optimization and the development of innovative solutions that enhance product quality and operational efficiency. I hold a Post Graduate Program in Data Science and Engineering from the Great Lakes Institute of Management, along with specialized training in Applied AI and Machine Learning from Conestoga College. My professional experience spans notable organizations like Intellect Design Arena Ltd. and TVS NEXT, where I led impactful projects that significantly improved data extraction accuracy and recruitment efficiency. I am passionate about leveraging data to drive insights and create value, and I continually seek opportunities to expand my knowledge and skills in this dynamic field. Thank you for visiting my portfolio! Feel free to modify any part of it to better reflect your personality or specific experiences!
I specialize in designing robust machine learning models tailored to solve complex business problems. My expertise includes crafting innovative solutions for image recognition and natural language processing tasks. I can help you design efficient data pipelines and architectures that optimize your data flow and processing, ensuring your AI systems are both powerful and scalable.
With a strong background in Python and SQL, I excel in developing cutting-edge AI applications. I've successfully built and implemented systems like the Table Structure Recognition system, which improved data extraction accuracy by 30%. My experience also covers developing automated benchmarking tools and custom NER models, showcasing my ability to create solutions that significantly enhance operational efficiency and data usability.
I'm well-versed in deploying machine learning models into production environments. My experience includes integrating AI models into iOS applications using CoreML and implementing cloud-based solutions using AWS services like EMR and EKS. I can assist in setting up robust error handling systems and optimizing model performance under production conditions, ensuring smooth and efficient deployment of your AI solutions.
