Varsha Periyasamy

MSc Artificial Intelligence & Robotics student with hands-on experience in machine learning, NLP, and data engineering. Skilled in Python, SQL, and building scalable data pipelines, with proven impact in improving data quality and automating ETL workflows by 40%+. Passionate about developing end-to-end AI solutions in predictive analytics, computer vision, and intelligent systems. Seeking an AI/ML internship in the UK.

MDM Developer at Majix Solutions Inc (2022-08 – 2025-09)

Engineered and maintained scalable data pipelines integrating Reltio and Salesforce for enterprise data management and optimization.

• Engineered and maintained scalable data pipelines integrating Reltio and Salesforce, improving enterprise data accessibility and reliability
• Reduced data duplication by 30–40% by implementing advanced match and survivorship rules
• Automated ETL workflows, decreasing manual processing effort by 40%+ and improving operational efficiency
• Developed secure REST APIs using OAuth 2.0, enabling seamless system integration and real-time data exchange
• Strengthened data governance frameworks, enhancing consistency and accuracy across enterprise systems
• Collaborated with cross-functional teams to align data solutions with business requirements and improve workflow efficiency

AI Tutor / Topic Modelling Intern at AiSPRY (2023-06 – 2023-08)

Implemented topic modelling algorithms and NLP techniques to develop an AI-based tutoring system.

• Implemented topic modelling algorithms on large text datasets to extract meaningful themes and insights
• Applied NLP techniques to automate content generation and improve learning system efficiency
• Contributed to the development of an AI-based tutoring system using unsupervised learning approaches
• Optimised model performance by refining clustering techniques, improving topic coherence and accuracy

Post Liver Transplantation Disease Prediction Intern at AiSPRY (2023-05 – 2023-06)

Developed machine learning models to predict post-liver transplant complications using clinical datasets.

• Developed a machine learning model to predict post-liver transplant complications using clinical datasets
• Identified key predictive features through data analysis, improving model interpretability
• Evaluated and optimised model performance using validation techniques to enhance prediction accuracy
• Applied AI techniques to real-world healthcare problems, improving decision-support capabilities

Pharmacy Medicines Forecasting Internship at AiSPRY (2023-02 – 2023-04)

Built predictive forecasting models to analyze medicine demand and optimize inventory planning.

• Built predictive forecasting models to analyse medicine demand and optimise inventory planning
• Generated actionable insights from model outputs, improving stock management accuracy
• Applied AI techniques to enhance forecasting efficiency within a consulting project framework
• Delivered end-to-end project outcomes, including data analysis, modelling, and reporting

MSc in Artificial Intelligence and Robotics – University of Hertfordshire (2026-01)

B.E. in Electronics and Communication Engineering – Anna University (2018-08 – 2022-04)