I'm FNU Neelansh, a dedicated and accomplished data scientist and machine learning engineer based in Dallas, TX. I hold a Master of Science in Computer Science from The University of Texas at Dallas and a Bachelor of Engineering in Computer Science from Birla Institute of Technology, Mesra, where I developed a robust foundation in statistical modeling, machine learning, and data science.
In my professional journey, I have held significant roles, such as Associate Tech Lead at Zycus, where I co-led the Merlin eProcurement product team. My efforts focused on streamlining buying processes, mitigating risks, and strengthening supplier relationships. I managed the software engineering pipeline for Merlin’s Risk-Bot, enhancing the F1 score for location extraction in text and implementing supervised classification using neural network-based models.
At Infineon Technologies, I led two machine learning projects and developed NLP services for the Strategy team, optimizing information retrieval for SEO by evaluating advanced text embeddings. I also identified circuit failures by detecting anomalies in time-series data using autoencoders, showcasing my ability to solve complex, data-intensive problems.
My technical expertise spans a wide range of tools and frameworks, including Python, R, SQL, TensorFlow, PyTorch, and Scikit-learn. I have successfully deployed machine learning models in production environments, designed data processing pipelines, and collaborated with cross-functional teams to create data-driven products. Projects such as the AI Vacation Manager with Llama-2 and the Huninchen Chat Bot using LangChain on Azure highlight my innovative approach and proficiency in leveraging cloud computing platforms like AWS and Azure.
In addition to my technical skills, I have a strong background in natural language processing, feature engineering, and anomaly detection. My work on sentiment analysis, AI-driven vacation management, and global health information systems demonstrates my versatility and commitment to advancing the field of data science.
With a passion for technology and a proven track record of delivering impactful solutions, I am poised to contribute significantly to any data science and machine learning initiatives.
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