Harshit Arora is pursuing a Master of Science in Business Analytics degree at Emory University's Goizueta Business School. He has work experience as a Decision Analytics Associate at ZS Associates and a Business Analyst Intern at Deloitte. His projects include applying machine learning techniques to identify key product attributes for a retail client and developing customer and product segmentation models. He has strong skills in languages like R and Python and techniques such as regression, clustering, and neural networks.

1. HARSHIT ARORA
(C) 404-993-9528 | harshit.arora@emory.edu |
789 Houston Mill Rd NE Atlanta GA 30329
www.linkedin.com/in/harshitarora26 | https://github.com/Harshit-Arora
EDUCATION
EMORY UNIVERSITY, GOIZUETA BUSINESS SCHOOL Atlanta, GA
Master of Science in Business Analytics (MSBA) – STEM credentialed program Jul’19-May’20
 GPA 3.94/4.0 (Rank: 1/44)
 Coursework: Machine Learning, Data Visualization, Decision Analytics, Business Statistics, Social Network
Analytics, Sports Analytics, Marketing Analytics, Managing Big Data
 Recipient of Goizueta Technology Scholarship ($15,000) | MSBA student ambassador
GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY New Delhi, India
Bachelor of Engineering, Information Technology Aug’14-Jun’18
 CGPA 80.1/100 (Top 10%)
 Co-headed multiple blood donation camps recording 700+ donors
PROJECTS
 MSBA Capstone: Applying Machine Learning techniques to identify key product attributes using R, Python &
BigQuery; leading a team of 4 student Data Science Consultants & serving as primary point of contact for client’s
leadership (Client: Fortune 50 Retail company)
 Developed a customer segmentation and product segmentation model for a major retail chain with 1100+ products
using K-means Clustering
 Designed interactive Tableau dashboards comparing KPIs for 8 major U.S airlines operations in 2018; leveraged R to
clean 11M rows of data to reduce dashboard processing-time by 40%
 Predicted click-through rate for mobile ads on a 31M row dataset using ML classification algorithms such as Random
Forests, Decision Trees,NeuralNets,Logistic Regression, and XGBoost
DATA SCIENCE COMPETENCIES
Languages & Tools: R, Python, SQL, Tableau, RapidMiner, AWS, Google Cloud (BigQuery), Excel, PowerPoint
Techniques: Linear & Logistic Regression, Decision Trees,k-NN, k-Means Clustering, Random Forests,
Network Analysis, Segmentation, Naïve Bayes, Principal Component Analysis (PCA),Cross-
Validation, Recommender Systems, Regularization, Neural Nets, SVM, Ensembles
WORK EXPERIENCE
ZS ASSOCIATES New Delhi, India
Decision Analytics Associate Jun’18-Jun’19
 Discovered key factors for low customer retention by analyzing quantitative survey data from 6,000+ customers using
R and Excel; utilized mathematical approaches to determine relative importance of product and service attributes
 Built a market coverage and optimization model for a major healthcare client in Europe, resulting in reduction of
annual salesforce cost by 15% and a shift towards D2C investment
 Delivered roadmap to increase market share by 20% over 3 years by quantifying the consumer pathway and
identifying key customer leakage points through market research; extrapolated results to national level and drafted
recommendations for market development tactics
 Analyzed effectiveness of pharmacy detailing by leveraging inferential statistics such as t-tests to compare results of
A/B testing on test and control markets
 Led training and coaching sessions for ~20 new recruits for Excel and PowerPoint best practices
DELOITTE New Delhi, India
Business Analyst Intern Aug’17-Sep’17
 Improved service rate by 15% by investigating and eliminating bottlenecks in car service & repair operations of a
Fortune 100 automobile client through statistical analysis of observational data
 Secured additional engagements worth $50,000 by recommending unsupervised machine learning techniques to
segment customers and improve targeting strategy