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Data Sales

United States
October 31, 2016

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Maithili Pande


*** **** ******, ********, **

SUMMARY: Experience working in customer facing role in the field of analytics. In-depth knowledge of data analysis, reporting and data visualization. Self-starter and proven record to thrive in fast-paced environments & succeed under pressure.


University of Connecticut School of Business Hartford, Connecticut

Master of Science in Business Analytics and Project Management Expected Dec 2016

Yeshwantrao Chavan College of Engineering, Nagpur University Nagpur, Maharashtra, India

Bachelor of Engineering in Information Technology Graduated 2010


Analytical Tools: SAS, SAS EG, SQL Developer, R Studio, Microsoft Excel, PostgreSQL, Google Analytics, Oracle, Hadoop, Pig, Hive, Tableau, VISIO.

Techniques: Hypothesis Testing, Linear and Logistic Regression, Decision Trees, Time Series Analysis, Association rules, Market basket analysis, Clustering, Data Mining, Text Mining, ANOVA.


Predicting sales for a German store with Predictive analytics using SAS - Developed predictive models using Decision Tree, Neural Network and Regression techniques for overall comparison for the best models to be selected for the sales prediction and help in resource allocation.

Market Basket Analysis for Walmart for improving customer experience using R and Tableau - Performed EDA and market basket analysis to understanding the product bundling that customers are carrying out while shopping and recommend marketing strategies on the basis of the analysis.

Analyze and reason employee attrition with Survival Analysis using SAS - Analyzed multiple factors affecting employee attrition using SAS procedures LIFETEST, LIFEREG, PHREG etc. Used Competing risk to check dependencies between various types of employee turnover and reason the overall attrition in the company.

Web Scraping and Time Series Modeling using R - Performed time series modeling and recommended short/long positions for 10 stocks based on data scraped from Yahoo Finance webpage using rvest and forecast packages in R.

Parking Analytics for LAZ Parking using R and Tableau - Analyzed the parking data to identify both internal and external factors that influence the parking decision of different customer segments, proposed new pricing models and recommended strategies to improve customer acquisition and retention


Persistent systems (Module Lead) July 2013 – June 2015

Involved in real-time behavioral tracking and database updates to enable data-driven personalization and contextual marketing for the Campaign management.

Extracted, transformed and manipulated data for statistical reporting and modeling using SAS.

Analyzed bounce rate, clicks, opens and failures types to increase website traffic using Google Analytics and reduced failures.

Identified target segments using Cluster Analysis and helped formulate campaigning strategies for each segment for a leading email marketer. Solution helped client improve campaign response rate by 35%.

Implemented A/B testing to understand user behavior in terms of response to various templates for the marketing campaigns.

Created insightful dashboards and visually appealing user insights using Tableau to track key business metrics.

TechMahindra Limited (Technical Associate) Dec 2010 – June 2013

Performed customization in existing Oracle E-Business Suite module (MDM) tailored to client requirements.

Developed/customized tool/module using PL-SQL. Maintained data integrity and synchronization in the immediate upstream and downstream components to the Master data.

Created stored procedures to retrieve data for Reporting and Analysis.


SAS Certified Base Programmer for SAS 9

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