Dhruv Arora

• Analyzed digital advertising trends and competitor strategies to obtain insights into revenue models and strategic opportunities, leading to actionable investment recommendations.

• Led team of 4 to analyze referral trends to DCI’s Cancer programs using Tableau and Microsoft SQL Server, enhancing service delivery and program reach. • Built dashboards in Tableau and conducted Statistical Analysis such as Welch T-tests in Python to evaluate equitable care across gender and race, supporting DCI’s patient care fairness initiatives.

Supported Prof. Jack Soll in behavioral decision research by successfully web scraping and analyzing research paper data from The Institute for Operations Research and the Management Sciences, enhancing project data resources.

Led the Events arm of the club. We organized events with people in the consulting industry. Sessions included panels, fireside chats, Q&A's, etc.

I was a PM at DISI, pro-bono consulting club at Duke. Led a team of 5 to create a performance tracking analysis app for Jump Ropers who are a part of Aerotrix, a company that provides Jump Rope classes in Chapel Hill, NC.

I was part of the AI Makerspace team at Digital Product School in a mentorship role. Key Responsibilities included:- - Supporting DPS Participants in developing their product using Lean AI Prototyping methodologies - Organizing sessions and workshops - Managing the LinkedIn Page of AI Makerspace - Contributing to the AI Makerspace GitHub repository

Worked on a project in collaboration with SAP. We created an Intelligent Manufacturing Companion to assist key personas (Production Engineers, Plant Managers, etc.) in the shop floor by reducing the time they spend in decision making during their shift.

■ Developed a dashboard using Streamlit as frontend and FastAPI as backend to monitor Data & Concept Drift; used models such as BERT, Doc2Vec and Auto-Encoders, and techniques like t-SNE, Lexical Density, PDF, CDF for analysis and visualization ■ Used prior customer data as well as scraped webtext data as input and predicted contextual buttons for the chatbot- Cora. Employed TF-IDF vectorizer for feature extraction and Single-Label Classification ML models like RFC/XGBoost for prediction resulting in 4% improvement in query resolution speed due to reduction in human handoff

■ Undertook this internship(part-time) to fulfil the curricular requirements for Software Development using Open Source course at IIITD ■ Developed backend for a Lead Management System (LMS) using Django and MySQL, resulting in deployment-ready product

■ Was a part of the lending services team; created a new microservice on Spring Boot for smoke/sanity testing of the environment ■ Automated the monthly test report of the team using Bash Scripting

Fuqua Scholar (Top 10% of graduating class) Merit Scholarship Recipient Data Science Coursework: Data Science for Business, Decision Analytics & Modeling, Data Visualization, People Analytics Domain Coursework: Strategic Management, Operations Analytics, Causal Analysis, Introductory Accounting/Finance/Marketing