Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Sounthariyaa Jairajkumar, a Master’s student in Information Technology (Artificial Intelligence) at the University of New South Wales, with hands-on experience in software development, automation, and clinical data analytics from IQVIA. I thrive on turning data into practical AI-driven solutions that improve healthcare efficiency and decision-making. I am proficient in Python, SQL, and cloud technologies, with a strong foundation in machine learning, NLP, and data-driven systems. I enjoy designing scalable AI solutions and collaborating with cross-functional teams to deliver impactful results.…I am Sounthariyaa Jairajkumar, a Master’s student in Information Technology (Artificial Intelligence) at the University of New South Wales, with hands-on experience in software development, automation, and clinical data analytics from IQVIA. I thrive on turning data into practical AI-driven solutions that improve healthcare efficiency and decision-making. I am proficient in Python, SQL, and cloud technologies, with a strong foundation in machine learning, NLP, and data-driven systems. I enjoy designing scalable AI solutions and collaborating with cross-functional teams to deliver impactful results.

Sounthariyaa Jairajkumar

Data Scientist, AI Developer, Full Stack Developer, +2





I am Sounthariyaa Jairajkumar, a Master’s student in Information Technology (Artificial Intelligence) at the University of New South Wales, with hands-on experience in software development, automation, and clinical data analytics from IQVIA. I thrive on turning data into practical AI-driven solutions that improve healthcare efficiency and decision-making. I am proficient in Python, SQL, and cloud technologies, with a strong foundation in machine learning, NLP, and data-driven systems. I enjoy designing scalable AI solutions and collaborating with cross-functional teams to deliver impactful results.…I am Sounthariyaa Jairajkumar, a Master’s student in Information Technology (Artificial Intelligence) at the University of New South Wales, with hands-on experience in software development, automation, and clinical data analytics from IQVIA. I thrive on turning data into practical AI-driven solutions that improve healthcare efficiency and decision-making. I am proficient in Python, SQL, and cloud technologies, with a strong foundation in machine learning, NLP, and data-driven systems. I enjoy designing scalable AI solutions and collaborating with cross-functional teams to deliver impactful results.

Available to hire

I am Sounthariyaa Jairajkumar, a Master’s student in Information Technology (Artificial Intelligence) at the University of New South Wales, with hands-on experience in software development, automation, and clinical data analytics from IQVIA. I thrive on turning data into practical AI-driven solutions that improve healthcare efficiency and decision-making.

I am proficient in Python, SQL, and cloud technologies, with a strong foundation in machine learning, NLP, and data-driven systems. I enjoy designing scalable AI solutions and collaborating with cross-functional teams to deliver impactful results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Product Support Engineer at IQVIA

September 1, 2024 - September 1, 2025

Automated clinical data validation workflows using Python and SQL, reducing manual QA time by 30%. Managed and optimized 10M+ row datasets in Oracle SQL and Snowflake for analytics pipelines. Built and tested REST APIs using Postman, improving integration reliability by 20%. Enhanced AI assistant functionality, improving response accuracy and workflow efficiency across teams.

Software Development Intern at IQVIA

February 1, 2024 - September 1, 2024

Contributed to the Clinical Data Analytics Suite (CDAS) for trial-based insights. Developed XML-based data pipelines with Python and SQL to automate data ingestion. Built dashboards for real-time patient data visualisation, improving decision speed by 25%. Implemented automation scripts that reduced validation turnaround time by 40%.