Anbilparithi Pagutharivu

• Led a team of 6 on an industry project with a local company to analyze their sales and work order data to generate insights on their profit margin discrepancies.
• Generate a comprehensive business report on the findings.
• Conversion of raw data to a useable csv format.
• Created mock data to work on addition analysis and scenarios.
• Funded by the state of Indiana.

• Actively participated in team meetings, offering insightful suggestions that led to improvements in the hiring process.
• Prepared comprehensive monthly reports summarizing data analysis findings, informing key decision-makers of important trends and patterns in the hiring data.
• Consolidated all hiring data to a master Excel file and used pivot tables to visualize the weekly progress. Used visualizations to prepare presentations for weekly team member performance review meetings.
• Created a hiring dashboard from the hiring data with the help of the business analytics team.
• Supported staff members in their daily tasks by sourcing and screening potential candidates for low priority roles, reducing workload burden and allowing for increased focus on higher priority hiring assignments.
• Assisted the insurance team with day-to-day activities.

• Researched and implemented projects on continual learning algorithms.
• Utilized AWS to implement and deploy ML models on path planning and optimization using the ETL (Extract, Transform, Load) process.
• Supported the creative team on game designs.

• Relevant Coursework: Algorithm Design and Analysis, Expert Systems, Machine Learning, Knowledge Discovery and Data Mining, Data Analytics and Visualization, Computer Vision, AI Software Engineering, Web Development, Human Computer Interaction & Operating Systems
• 3.89 GPA
• Career Development Center Ambassador
• Research Project: The Future of Feelings: Leveraging Bi-LSTM, BERT with Attention, and Palm V2 & Gemini Pro
• Research Project: Analysis of the performance of Genetic Algorithm and Particle Swarm Optimization on Standard Benchmark Functions
• Capstone Project: Job Title Normalization, Intelligent Dashboard, MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset
• Member of Upsilon Pi Epsilon
• Nominated for Top50 Award
• President of Cricket Club

• Minor: Data Science
• Relevant Coursework: Optimization, Applied Statistical Methods, Data Science, Deep Learning, Information Retrieval, Database Systems & Computer Architecture
• Extracurricular Activities: Cricket Team Member, Part of Event Management Committee
• Executive member of AI Club, Design Head of ASME
• Research Project: Smart Irrigation System, Smart Home Automation