*** **** ******, *** *** 860-***-****
SHUBHAM SHARMA
Hartford CT 06106 *******.******@*****.***
EMPLOYMENT
Associate Consultant Oracle 09/2011 – 11/2013
Provided consulting services to customers to develop analyses leading to actionable insights that accelerated their
profitable growth
Wrangled data from multiple sources including online, POS, product, bank and customer databases to create
integrated views that can be used to drive decision making
Redesigned online transaction processing framewo rk and developed algorithms to improve the performance of
databases by 30%
EDUCATION
Hartford, CT University of Connecticut 01/2014 – 12/2014
M.S. in Business Analytics and Project Management. GPA: 3.6
Graduate Coursework: Hadoop and Big Data Analytics, Predictive Modelling, Data Mining and Business Intelligence,
Advanced Business Analytics, Business Decision Modelling, Analytical services for Financial Consulting
Ranchi, JH Indian Institute of Management 08/2013 – 11/2013
Executive program in Business Analytics and Business Intelligence
Coursework: Adaptive Business Intelligence, Machine Learning, Business Process Modelling
Ambala, HR Maharishi Markandeshwar University 04/2007 - 04/2011
Bachelor of Technology in Information Technology
Undergraduate Coursework: Operating Systems, Object Oriented Programming, Computer Architecture, Engineering
Entrepreneurship, Calculus
DATA SCIENCE ADVANCED ANALYTICS EXPERIENCE
Online Transaction Processing Framework Redesign, Oracle (2011 -2013) – Worked closely with the Consulting
Practice Director and helped the client scale to millions of transactions per day using JAVA and Oracle’s relational
database system to build a scalable, cost effective, and fault tolerant online transaction processing fr amework
DNALoan Application, Fiserv (2014) - Proposed design of a loan recommendation application to reduce loan default
rate and improve product offering. Developed cluster analysis to segment good credit and bad credit customer
portfolios. Used R for price sensitivity analysis and loan default prediction using conventional and social network
data. Targeted lift in gross profit is estimated to be 7%
Predicting Level Term Policy Lapses, LIMRA (2014) – Analyzed life insurance data to provide heuristics and reports.
Designed a predictive model using decision trees in R to identify the policyholder’s behavior and policy factors that
lead to the surrender or lapse of a policy
Give me some credit, Kaggle (2014) - Built a model by combining random forests wi th other ensemble methods like
gradient boosting using Python that helped borrowers in making financial decisions. Improved on the state of the art
in credit scoring by predicting the probability that somebody will experience financial distress in the next two years.
Solution ranked in the top 10% solutions
Titanic: Machine Learning from Disaster, Kaggle (2014) – Analyzed what sorts of people were likely to survive on
RMS titanic and applied tools of machine learning using scikit-learn in Python to predict which passengers survived
the tragedy. Solution ranked in the top 15%
International Air Transport Association Traffic Analysis, University Of Connecticut (2014) – Used PIG and Java to
analyze a large data set of airlines and airports data stored in Hadoop. Deduced and presented inferences such as
volume of flights, carrier delays, carrier popularity and busiest routes across U.S.A
SKILLS
Domains – Big Data, Analytics, Financial Services, Digital Analytics, Social Network Analysis
Certifications – Hadoop Ecosystem (Big Data University, IBM), Red Hat Certified Engineer
Analytics Tools – Tableau, SAS Enterprise Guide, SAS Enterprise Mine r
Languages – R, Python, Java, Pig Latin, HiveQL, SQL
Databases – Oracle, MySQL, HBase
Dev. Tools – Linux, Eclipse, RStudio, Canopy, git, SVN