JIS JEESON

Data Science postgraduate with a strong foundation in Economics and hands-on experience in SQL, Python, PowerBI, and Excel. Skilled in developing dashboards, automating workflows, and validating data accuracy. Adept at stakeholder collaboration, documentation, and product development lifecycle. Strong analytical mindset with the ability to grasp new concepts quickly and apply Agile practices. Seeking to apply technical and business skills as a Systems & Analytics Intern at Eli Lilly.

• SAS Programming for Data Science (Coursera)
• Excel to MySQL: Analytics Techniques for Business (Duke University)
• Exposure to Power BI (self-learning / in progress)

• Dr. Vasudeva Guddattu, Professor and Head, Department of Applied Statistics and Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, vasudev.guddattu@manipal.edu
• Dr. Kavitha Karimbi Mahesh, Associate Professor, Department of Applied Statistics and Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, kavitha.kmahesh@manipal.edu

Income Prediction Using Census Data, Applied classification algorithms on UCI Census dataset to predict income groups. Preprocessed and validated data using Python for model development. SDG Tagging of Research Articles, Developed keyword-based automated tagging system for research articles affiliated with MAHE.

Available for 6-month full-time internship, 12/25, Open to relocation

• English, Advanced (C1)
• Hindi, Elementary (A2)
• Malayalam, Bilingual/Proficient (C2)

• Participated in seminar on Basic Multimodal Machine Learning.
• Represented and coordinated fests in Economics and intercollegiate quiz competitions.
• Organized academic events and collaborative learning efforts at Manipal University.
• Created process maps and streamlined workflows in academic and project settings.