VAISHNAVI JALA

**** ********** *** *, *** *** ● Minneapolis, MN 55454 ● 612-***-**** ● aczey0@r.postjobfree.com EDUCATION

UNIVERSITY OF MINNESOTA, Minneapolis, MN

Carlson School of Management

Candidate for Master of Science in Business Analytics May 2017 BITS PILANI, Hyderabad, India

Bachelor of Engineering, Electronics and Communications Major June 2013 SKILLS

• Analytic Tools: Python, SAS, R, SQL, VBA, RapidMiner

• Big Data Tools: Hadoop, Hive, Pig, AWS, Mahout, Scala, Spark, H2O

• Techniques: Machine Learning, Hypothesis Testing, Statistical Modeling, Classification and Regression, Predictive Analytics, Harvesting Big Data, Text Mining, Association Rules, Topic Modeling, Clustering, Time Series Analysis

• Visualization: Tableau

EXPERIENCE

Provided data driven analytical solutions to Fortune 500 HealthCare and Retail companies across a diverse set of problems involving operations, supply chain and marketing functions. CARLSON ANALYTICS LAB, Carlson School of Management July 2016 –Present Data Science Intern - Global Business Travel Management Company Developing an optimization algorithm to customize hotel search results for a travel management company

• Built a predictive model to understand the factors affecting hotel bookings for various customers

• Developed a series of Recommender system models using Collaborative filtering techniques and Content Based techniques to generate hotel recommendations

Analytics Consultant - Fortune 500 CPG Company

• Segmented retailers for a multinational consumer goods company and recommended promotional strategies for products using association rules

NOVARTIS HEALTHCARE, Hyderabad, India April 2015 – May 2016 Analyst

• Developed market mix models for a top selling drug using multiple regression analysis to identify sales lift of various promotions, thereby optimizing ROI

• Performed hypothesis testing on claims data to understand the factors influencing insurance cost and developed Classification Trees to predict cost buckets of individuals

• Developed customized data driven Tableau tool for effective salesforce management that led to increase in market receptiveness by 4%

MU SIGMA BUSINESS SOLUTIONS, Bangalore, India July 2013 – March 2015 Decision Scientist

• Performed space utilization analysis for an Australia retailer chain and prioritized products in shelf space which increased profits by 7%

• Segmented the stores of a Fortune 30 home improvement retailer using K Means clustering in SAS and optimized the pricing strategy by analysing market elasticity across segments

• Optimized the pickup cart route of online ordered products from shelf to counter using traveling salesman algorithm

• Developed an interactive dashboard using Tableau to analyse the competitive performance of a product for a pharmaceutical manufacturer and identified underperforming markets DATA SCIENCE PROJECTS

Predicting Home Depot Product Search Relevance (Kaggle problem statement)

• Developed an ensemble model using Classification and Regression Trees and NLP (Natural Language Processing) text mining techniques in Python to predict the relevance of a search query on homedepot.com

• Reduced RMSE by generating features which capture semantic similarity using LSA and Word2Vec distances Prediction of Airline Delays

• Built predictive models using AWS and H2O to classify delayed flights by analysing 10 million rows of data

• Developed a R Shiny application to identify the best airline carriers from origin to destination

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