1. NIDHI GUPTA
Phone: 860-532-8618 nidhi.2.gupta@uconn.edu
LinkedIn: www.linkedin.com/in/nidhiguptauconn Address: 250 Main Street, Hartford, Connecticut 06106
Data Scientist with experience working for a world-dominating consumer goods company and delivering results
through data science and retail insights. Areas of undivided focus include advanced statistical modeling, data
engineering and science, business decision modeling, and predictive modeling using R, SAS, SQL, MS Excel, big data
and optimization techniques.
EDUCATION
MS, Business Analytics & Project Management, University of Connecticut School of Business 3.7/4 Dec 2016
BS, Biotechnology, Thapar Institute of Engineering and Technology, India 7.1/10 Jun 2014
PROFESSIONAL SKILLS
Analytical Modeling Skills: Time Series Forecasting, Predictive Modeling, Machine Learning, Big Data Analytics,
Hadoop Ecosystem, Text Mining, Data Visualization, Linear and Non-Linear Optimization, Feature Engineering,
Sensitivity Analysis, Simulations, Advanced Statistics (Hypothesis Testing, Regression, ANOVA, Probabilities)
Tools and Programming Skills: R, MySQL, Hive, Pig, Oracle SQL 11g, Tableau, MS PowerBI, MS Azure ML Studio,
Python, SAS JMP Pro, SAS Enterprise Miner & Enterprise Guide, MS Excel Solver, MS Office (Word, Excel, PowerPoint)
WORK EXPERIENCE
The Wine Group, Data Scientist May 2016 – Dec 2016
 Forecasted wine sales using R for top brands like Franzia and Cupcake using 10 years of historical data
 Developed forecast reports using MS Power BI to provide insights to higher management
 Predicted sales for all stores in US (~2 million stores) using R and MS Azure ML Studio, feature engineering,
random forests, and boosted decision trees model with an AUC of 0.79
 Delivered reports to sales and marketing team which improved targeted sales for the month
Interra Information Technologies, Data Analyst Feb 2015 - July 2015
 Predicted employee attrition of the company using logistic regression in R and analyzed the impact of
employee resignation on the company’s business
CIIE, IIM Ahmedabad, Product Analyst June 2014 - July 2014
 Performed market analysis of the product and built a prototype for eCommerce website, a platform for gifting
in groups; stakeholder mapping, problem & solution definition, prototype development
Biocon Limited, Microbiologist, R&D Labs June 2013 - Dec 2013
 Enhanced drug production manifold and increased long-term profitability substantially by successfully
obtaining a mutant
Larsen & Toubro, Biomedical Scientist June 2012 - July 2012
 Improved the interpretation of the communication between ECG and the computer using LabVIEW
ANALYTICS PROJECTS
Capstone Project: Analyzed LAZ Parking Data of Oakland Airport, Client: LAZ Parking
 Analyzed LAZ parking data of Oakland airport to present insights driving business value; provided
recommendations using external data of weather, flights and Uber rides, which increased revenue by 8%
Predicted Hospital Readmissions, Client: Bridgeport Hospital, CT
 Predicted preventable readmissions using SAS JMP, built predictive models such as regression, decision tree,
bootstrap forest, performed data cleansing, data visualization on demographic data, medical history and
insurance information of 20,000 patients saving the hospital of 7.2 M readmission costs per year
Optimized Cost of Desalination - Business Case Analysis
 Estimated and optimized the cost of desalination procedures vs. cost of towing icebergs from Antarctica to
Kuwait to meet yearly water supply in Kuwait using MS Excel Analytical Solver
 Defined the objective function, constraints and used linear programming to find the optimal solution
Forecasted Daily Sales, Client: Rossmann, Europe
 Forecast sales of 1,500 Rossmann stores for six weeks across Europe in R and SAS using clustering and time
series forecasting on a dataset from Kaggle
Process Optimization and Database Implementation, Client: Canadian Healthcare Industry
 Reduced overall claim processing time by re-engineering the process of claim settlement
 Designed ER diagram in Visio, used Oracle SQL developer tool to write tables to optimize the process