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Achutha Subhash

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Experienced data scientist with around 3 years of experience, specializing in Machine Learning, Natural Language Processing, and Genai. Expert in extracting insights from diverse datasets and transforming them into actionable strategies. Currently leveraging LLM, Lang chain, prompt engineering, fine tuning and vector database in various projects involving text data analysis, NLP solutions, and predictive modeling. Previously, successfully developed and deployed production-grade ML and DL models using Python, TensorFlow, and Keras. Possesses a strong foundation in Python programming, data management, and exploratory data analysis (EDA) with proficiency in tools such as Excel, SQL, Tableau, and Python libraries including NumPy, Pandas, Matplotlib, Seaborn, and Plotly. Excels in developing both traditional and deep learning solutions tailored for business needs. Demonstrates a commitment to continuous learning, evident in the exploration of the latest AI developments, including LLMs and prompt engineering. Successfully implemented RAG and engineered prompts in current company TR solutions to enhance customer experience. Notably delivered an NLP-based solution for a leading EMR provider, optimizing support ticket classification and improving operational efficiency, resulting in significant cost savings. Thrives in collaborative environments, contributing analytical skills and creativity to drive data-informed decision-making. Eager to take on new challenges and apply expertise in developing innovative solutions that positively impact businesses.

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