Data Scientist/Data Analyst/Data Engineer

Deepti Anie Varghese

516-***-**** ******.********@*****.*** www.linkedin.com/in/deeptivarghese

SUMMARY

Skilled analytics professional with over 5 years total experience, 2 years in analytics, over 3 years in software development

EDUCATION

Master of Science, Business Analytics and Project Management UConn School of Business May 2018

University of Connecticut, Hartford, CT GPA: 3.87

Capstone Project– Romp n’ Roll

Survival analysis to study customer membership times, and customer churn predictive models using R

Price elasticity analysis and Markov Analysis for Pricing, sentiment analysis using text mining

Tableau forecasting dashboard developed to visualize predicted KPI trends

Bachelor of Technology in Computer Science & Engineering TKM College of Engineering May 2010

University of Kerala, Kollam, India GPA:7.87

EXPERIENCE

Full Time Analytics Intern Data Analytics Co-Op Feb 2018 – May 2018

Nestle Waters North America, Stamford, CT

Forecasted daily sales to improve existing sales forecasts by preparing hierarchical time series forecasting models using SAS forecast studio and R packages

Compared and increased accuracy of sales forecasts using different techniques like Exponential Smoothing, ARIMA, and Ensemble models

Created SAS health checks for ensuring quality and accuracy of data & notify teams of exceptions

Used ETL software to transform and reshape data for use by different teams

Development for Demand Plan Accuracy in new levels of Material, Geography and Customer in SAS

Senior Associate Analytics and Applications May 2015 - Dec 2016

Global Application Technology, Kochi, India

Project – PVR Cinemas

Applied machine learning techniques to 120 million combined box office and concession transactions for 5 million loyalty program members to predict visits, and identify accelerating and decelerating behavior and target offers to maximize high margin sales

Segmented loyalty-member movie ticket purchases based on RFM metrics to create data-driven movie recommendation engine and integrate with PVR mobile app

Software Engineer Android Application – Development and Analysis May 2014 - April 2015

QBurst Technologies Pvt. Ltd., Thiruvananthapuram, India

Android application development including developing scope, coding, testing and publishing

Developed visualization dashboard for app usage behavior and segmented them for targeted marketing

Google Play services and third-party APIs integration, debugging and mobile app testing

Software Developer Project Inception Mar 2012 - Apr 2014

Global Application Technology, Kochi, India

Project – Indian Auto Exchange

Auto resale portal development and assisting database architect in designing RDBMS schema

Requirements analysis, designing final program specifications, developing program, preparing test script and working with QA team

Probationary Officer Consumer Banking Aug 2011 - Feb 2012

Federal Bank Ltd., Kochi, India

Customer accounts tracking for accounts without proper identification, dormant and inactive account holders for KYC

Customer clustering according to income, education, professional status, geography and other attributes, and market services to them accordingly

Deepti Anie Varghese

CERTIFICATIONS

SAS SAS Certified Advanced Programmer for SAS 9 July 2017

SAS SAS Certified Statistical Business Analyst using SAS 9 May 2018

Cloudera CCA Spark and Hadoop Developer June 2018

Coursera Introduction to Statistical Learning in R by Stanford University July 2017

Coursera Machine Learning by Stanford University Aug 2017

SKILL & ABILITIES

Analytics: R, Python-NumPy, SciPy, Scikit-learn, Pandas, SAS Macro Programming, Base SAS, SQL, Hadoop-Hive, Pig, Spark, Scala, Flume, Kafka, Java, SAS JMP, SAS Enterprise Guide, SAS Enterprise Miner, Tableau, Eclipse, SAS DI, MS Power BI, MS Excel, SAS Forecast Studio

Statistics: Statistics for Business Analytics (R), Predictive Modeling in SAS JMP, Visual Analytics (Tableau), Business Decision Modeling (MS Excel), Data Mining (SAS E-Miner), Business Intelligence, Project Management (MS Project, Gantt Charts), Big Data Analytics with Hadoop, Business Process Modeling (MS Visio), Data Science using Python, Data Management (SQL), Project Risk and Cost Management

Advanced: Machine Learning using Gradient Boosting, Random Forest, Clustering, Support Vector Machine, Neural Network

REFERENCES

Meghan Hanrahan, Associate Director, MSBAPM, UConn ******.********@*****.***

Rodger Wutzl, Senior Manager, Nestle Waters NA ******.*****@******.******.***

George Varghese, Director, Global Application Technology, India ******@****************.***

Rekha Radhakrishnan, Project Manager, QBurst, India *****@******.***

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