Abirami is a skilled developer with experience in full-stack web development, utilizing Python, Django, and PostgreSQL. The candidate has applied machine learning and NLP techniques, notably developing a Tamil vocabulary enhancement website and a CTG classification model. Professional experience includes data preprocessing and improving data quality processes in the healthcare sector.
Experience
SAAMA TECHNOLOGIES
Cleaned and prepared data in accordance with Tamil language rules, using a vocabulary specific to Tamil, which is now being utilized on a website. Learners to delve into the diverse vocabulary of Tamil language, enhancing their language proficiency. Projects included the Tamil Vocabulary Enhancement Website (Tech stack: Python, django, NLP) and CTG Analysis for Fetal State Classification using ML Algorithms (Tech stack: R, ML).
Associate system engineer / Trainee in development department
CODIIS
Data Preprocessing, Accelerating clinical trial data to identify queries, Mapping with variables and Deploying Data quality processes to ensure accurate, reliable and consistent data in healthcare. Improved data-driven insights, increased operational efficiency, reduced reputational risks, and minimized trial delays by reducing the need for manual reviews and errors. Integrated GPT-3.5 Turbo model to generate python code with 70% accuracy, to accessing data quality using few-shot prompting. Developed a website with integrated backend API’s to make the website dynamic.
Education
Arulmigu Meenakshi Amman College of Engineering
Bachelor of Engineering
Computer Science and Engineering
Coursework included Data Structures, Object oriented programming, Analysis and design of algorithms, Dbms.