Jul 2022 — Present Data Scientist, Tata Elxsi Bangalore
- Developed highly efficient generative AI algorithms by integrating multiple large language models and
LangChain, culminating in significantly improved results characterized by higher accuracy and enhanced performance in various applications.
- Spearheaded the development of behavior tree generation by researching LLMs and effectively analyzing complex behavior patterns, resulting in a 20% increase in system adaptability and a 15% improvement in the accuracy of handling complex behavior patterns across diverse domains.
- Developed enhanced patent evaluation accuracy by 25% through the development of NLP applications for a prediction tool, facilitating more informed decision-making in a streamlined process.
- Created a personalized movie recommendation systemwith collaborative and content-based filtering, achieving a remarkable improvement in accuracy, as evidenced by higher similarity scores in user specific movie suggestions.
- Led the automation of job resume screening using NLP techniques, effectively matching relevant information with job requirements.
Jan 2022 — Jul 2022 Data Scientist Intern, Tata Elxsi Bangalore
- Implemented a data ingestion process automating data transfer from diverse sources to a centralized database,
leading to an impressive 40% reduction in manual data entry. Leveraged web scraping techniques to efficiently gather and integrate data, enhancing overall workflow efficiency.
- Integrated OpenAI models and APIs into a Python-Flask based NLG engine, resulting in a huge enhancement in natural language generation accuracy and responsiveness. Simultaneously, the creation of data models and documentation for data flows led to a 30% improvement in system architecture and data quality, ensuring a more robust and efficient overall system.
- Leveraged expertise in Streamlit to enhance the user interface of the resume screening tool, ensuring an intuitive and interactive data visualization experience for users. Utilized data visualization tools to create interactive graphical representations of financial data
Aug 2019 — Feb 2020 Trainee, Python Developer, NocTech Private Limited Ernakulam
- Developed Python-based web applications and backend services for a finance tracking system, facilitating successful deployment and seamlessfunctionality, thereby providing users with an efficient platform for tracking financial data.
- Designed efficient database structures and queries, utilizing Python librariesfor data analysis and visualization.
