Upalabdhi Mohapatra

Certified Data Science and Data Analytics professional with 2.2 years of experience as a Transaction Processing Associate at Accenture prior to a maternity break. Skilled in data analysis, process optimization, and delivering results that enhance operational efficiency. Now seeking opportunities in data science and analytics roles to apply my analytical skills and technical expertise to drive organizational growth.

• Awarded with the Best Student of the year in Sri Aurobindo Institute of Integral Education School.
• Own several dances and drawing competition in school.

• Project 1: A study on Coal Statement of Thermal Power Station, Power Generation Disruptions, Industrial Impact, Economic Consequences, Social Impact
• Project 2: A study on Adult Census Income Classification using Machine Learning, Enhanced model robustness by testing multiple algorithms (Decision Tree, Random Forest, Logistic Regression)., The best-performing model, Random Forest Classifier achieved an accuracy of 81% in predicting whether an individual’s income exceeds $50K., The model can be applied to help in socioeconomic studies, targeting financial aid, or analyzing workforce trends.

• SQL from Naresh IT
• Python from Udemy
• Introduction to Machine Learning from Imarticus

Postgraduate Program in Data Science and Analytics