MS Class of 2020
Aparna is a MS student at NYU CUSP. Prior to NYU, she had worked in Accenture as a BI developer. Her passion lies in the field of machine learning and natural language processing and how it can be used to tackle real-world urban issues. She has also done research in the field of Genetic Algorithms and Memetic Algorithms. Her diverse background has helped her develop a set of skills including both the technical know-how and the ability to build meaningful connections and tell stories with data.
Most Recent Professional Experience
DATA SCIENCE INTERN
Worked on creation of a Job Recommender System for the Generator Services Team using NLP Techniques.
SOFTWARE ENGINEERING ASSOCIATE
Accenture Services Pvt Ltd
Provided Enterprise Solutions in Business Intelligence to BASF, Germany Responsibilities included:
- Building and testing BI structure
- Data loading, monitoring and scheduling using Process Chains
- Creation and Analysis of SAP BI Queries using BeX Analyzer
Bachelor in Engineering (Information Technology) at University of Pune, India
Susan, Seba, and Aparna Bhutani. “Data Mining with Association Rules for Scheduling Open Elective Courses Using Optimization Algorithms.” In International Conference on Intelligent Systems Design and Applications, pp. 770-778. Springer, Cham, 2018
Susan, Seba, and Aparna Bhutani. “A Novel Memetic Algorithm incorporating Greedy Stochastic Local Search Mutation for Course Scheduling”. Accepted in International Conference on Computational Science and Engineering, IEEE, 2019
Susan, Seba, and Aparna Bhutani. “Incorporating Teacher’s Preferences and Student Time Management in University Course Timetabling”. Accepted in International Journal of Computer Information Systems and Industrial Management Applications, 2019
- Full-time employment