Transforming complex data into actionable insights through machine learning, statistical modelling, and data-driven decision-making.
Master of Data Science graduate from Adelaide University, Australia.
Analytical and results-driven data science graduate with a strong foundation in data analysis, statistical modelling, and machine learning. Proficient in Python, R, SQL, and data visualisation, with a passion for transforming complex datasets into actionable business insights.
Worked at Informatica Inc., delivering enterprise data solutions for global clients across banking, insurance, and pharmaceutical sectors. Experienced in data workflows, quality management, governance, and client-facing technical engagement, with a proven ability to communicate effectively and meet timelines while coordinating with international stakeholders.
Beyond technical expertise, I gained extensive leadership experience during my bachelor’s studies as Chairperson of the IEEE Computer Society Chapter, where I organized over 60 innovative events, led the chapter to be recognised as Outstanding Student Branch of the Year, and was named Best Volunteer of the IEEE Computer Society at state level.
Interactive Power BI dashboard over five years of South Australia road crash data, surfacing patterns by location, time, severity, and impairment across 63K incidents.
View project →A lightweight retrieval-augmented microservice that answers cooking questions grounded in a curated corpus, with per-request latency metrics baked in.
View project →A private, local-first budgeting app that parses bank statements, learns merchant categories over time, and visualises where money actually goes each month.
View project →A questionnaire-based web app that analyses user stress levels and delivers personalised stress reduction recommendations, driven by a Graph Neural Network recommendation engine.
View on GitHub →Completed a Master of Data Science with comprehensive training in machine learning, deep learning, probability and statistics, decision science, and data analytics. Coursework included Deep Learning Fundamentals, Machine Learning Tools, Data Science, Probability & Statistics, Data Taming, and Decision Science, along with studies in cybersecurity, ethics in computing, and mathematical foundations for data science. Developed strong analytical and problem-solving skills for real-world data applications, with exposure to advanced AI techniques and responsible computing practices.
Affiliated to APJ Abdul Kalam Technological University, Kerala, India.
Bachelor of Technology in Computer Science and Engineering with Honours, supported by strong academic records. Qualified multiple times in the prestigious GATE (Graduate Aptitude Test in Engineering) examinations. Possess a solid foundation in core computer science disciplines, including Data Structures, Algorithms, Machine Learning, Artificial Intelligence, Data Mining and Warehousing, Database Systems, Computer Networks, Distributed Computing, Natural Language Processing, and Compiler Design.
Actively contributed to IEEE as a student leader, tutor, and technical speaker, demonstrating strong communication and leadership abilities.