Achutha Subhash
About Achutha Subhash
Achutha Subhash is a Data Scientist with experience in natural language processing and data analysis. He has worked at notable companies including Analyttica Datalab Inc. and Thomson Reuters, where he developed solutions to enhance customer experience and operational efficiency.
Work at Thomson Reuters
Achutha Subhash has been employed at Thomson Reuters as a Data Scientist since 2023. In this role, he operates in a hybrid work environment in the Greater Bengaluru Area. His responsibilities include developing data-driven solutions that cater to business requirements. He utilizes various advanced technologies and methodologies to enhance the company's data analytics capabilities.
Previous Experience at Analyttica Datalab Inc.
Prior to his current position, Achutha Subhash worked at Analyttica Datalab Inc. as a Data Scientist from 2021 to 2023. During his tenure, he implemented Retrieval-Augmented Generation (RAG) and engineered prompts to improve customer experience in Thomson Reuters solutions. He also delivered a natural language processing (NLP) solution for a leading Electronic Medical Records (EMR) provider, which optimized support ticket classification and enhanced operational efficiency.
Education and Expertise
Achutha Subhash earned his Bachelor of Technology (BTech) degree in Electronics and Communication Engineering (ECE) from Vellore Institute of Technology, completing his studies from 2017 to 2021. His educational background has equipped him with a solid foundation in data science and engineering principles. He is proficient in Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Plotly, which are essential for data analysis and visualization.
Experience as Solutions Architect
In 2018, Achutha Subhash briefly worked as a Solutions Architect at ExpertsHub for one month in Hyderabad, Telangana. This role contributed to his understanding of technical solutions and client requirements, enhancing his skills in designing and implementing data-driven strategies.
Current Projects and Technologies
In his current role, Achutha Subhash leverages large language models (LLM), LangChain, prompt engineering, fine-tuning, and vector databases. He applies these technologies in various projects focused on text data analysis, NLP solutions, and predictive modeling. His work emphasizes the integration of traditional and deep learning solutions tailored to meet specific business needs.