Transforming complex data into actionable insights through machine learning, statistical modelling, and data-driven decision-making.
Currently pursuing Master's degree in Data Science at Adelaide University, Australia.
Analytical and results-driven data science graduate student 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 and was recognized on state level as Best Volunteer of the IEEE Computer Society.
Pursuing a Master of Data Science with comprehensive training in machine learning, deep learning, probability and statistics, decision science, and data analytics. Coursework includes 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.