1. Joji Antony Zacharias
901,Sahara One, Navy Gate Area, Abu Dhabi,UAE
E: antony.zacharias@rocketmail.com
PERSONAL SUMMARY
An experienced, disciplined, motivated and committed data analyst who has worked on
projects with clients spanning many industries. Accomplished and fluent communicator with
strong problem-solving ,decision-making skills and sound business acumen.
CAREER HISTORY
REASERCH ANALYST – Marketing and Customer Intelligence TeamEtisalat,UAE (Client Site)
July 2014 - present
Part of the Data Modellingteamforthe MarketingandCustomerIntelligence teaminEtisalat,UAE.
Responsibilitiesinclude:
 Creationof Modelslike upsell,cross-sell,churnprediction,tactical segmentation,profilingof
Etisalatsubscribers,acrossa wide range of Productsthat include Pre-paid,Post-paid,Home
services –TV, Internet,Landline Telephone usage,withthe aidof Teradataand SASfo the model
creationprocess
 Monthlyscoringof previouslydevelopedmodelsforrunningof respective campaigns
 Carryingout AD-HOCrequestsforProductowners,CampaignValueManagementTeam
ProjectsCompleted:
 CustomerSingle View:
o DevelopedamatchingAlgorithmtoconsolidateall EtisalatAccounts( Active+Churned),
intoone single view,One customermultipleEtisalatAccounts
o Part of one of the biggestprojectsfor2015 and isa CEO,CMO mandatedproject
 Elife Double PlayChurnPredictionmodel:
o Developedalogisticregressionmodel forpredictingpotential churnersfromEtisalat’s
Elife Double Playproduct
o The model wouldbe scoredona monthlybasisforcarryingoutretentioncampaigns
 Social NetworkAnalysisviralityanalysis
o IdentifiedandclusteredUAEtelecomsubscribersintocommunitiesbasedontheir
callingpatterns
o Classifiedmembersof these communitiesintoeitherleadersorfollowers,basedon
theircallingpatternsandusage patterns
o Analyzedthese communitiesfortrendsthattheyfollow invariousmetriceslike,revenue
generated,international,local usage,Datausage etc.
o Identifiedcommunitieswhere there haseitherbeenadrasticincrease ordecrease in
the metricesidentified,inordertopitchrespective campaignstothe Leadersof the
communitiesusingthe logicthatthe leaderscandrive the followerswiththeirinfluence
on the community.

2. o Campaignslike MembergetMembercanbe pitchedto suchcommunitiesintoacquire
more customers
 Postpaidchurnprofiling:
o Usingthe WesternElectronicalgorithm,identifiedsectorwisebehaviorof Postpaid
Churnersovera periodof twomonthsacross diverse metricesdescribingtheirusage
behavior
o Comparedthe churnerswiththe currentactive postpaidbase inorderto identify
sectionsinthe base whichhave a highpropensitytochurn,basedontheirusage
behavior
 LoyaltyAnalytics
o IdentifiedHighValuedEtisalatcustomerswhohad:
 EnrolledwithEtisalatLoyaltyprogramsandhadnot redeemedanyloyalty
points
 NotenrolledwithLoyaltyprograms
o Thisexercise wascarriedoutseparatelyforMobile andNonMobile users
o The identifiedusersweretargetedfor enrollmentand forencouragingredemptionof
loyaltypointsrespectively
 Cloudservice userstargetingandprofiling
o AnalyzedEtisalatcustomerswhowereusingothercloudservicesandcreatedalook
alike modellingbasedontheirbehaviorwiththe rationale thatthe profilethuscreated
afterthe modellingcouldbe replicatedonthe entire customerbase inordertoidentify
prospective Cloudservicesusersforthe new Ecloudservice beinglaunchedbyEtisalat
o The analysiswascarriedout formobile andnon-mobile customersseparatelyandtwo
listsof customersfortargetingwascreated,firstlistwitha veryhighpropensitytotake
up Ecloudservices,secondlistwithalittlelowerpropensity
o The Home servicesteamuponcreationof the Ecloudservice isgoingtotargetthese
customersoverthe periodof the nexttwoto three years
 AD-HOCanalysis
o IdentifyingHighValue Leadersof Mobile communitieswhocouldbe pitchedfor
Landline relatedoffers
o Matching customersbasedontheirSegmentationcarriedoutbydifferentteamsin
orderto identifydiscrepanciesinsegmentation
 MonthlyScoringof Modelsforthe CVMteam
BUSINESS ANALYST – Absolutdata Research and analytics
July 2013 – June 2014
Responsible for analyzing the needs of clients based on their business requirements and
coming up with solutions to their business problems, with the aid of analysis on tools like
MS Excel, VBA , SAS, R.

3.  Worked on a project where the client is a leading global Pharmaceutical firm, the
objective of the project being incremental sales and ROI calculation using the sales data
of pharmacies provided.
o Initially collected, studied and converted the raw pharmaceutical sales data into a
form on which further analysis could be carried on.
o Assisted in the creation of a dashboard, which employed the use of VBA macros
using which the analysis on incremental sales and ROI could be carried out for
various pharmacies across geographies, brands, chains, products and
pharmacies.
 Shadow resource for a leading telecom consulting firm where the objective of the project
was to identify mobile customer behavior by studying their app usage patterns. Analysis
was carried out primarily on MS Excel, VBA Macros were created to consolidate mobile
data of users into a form that can be analyzed.
KEY COMPETENCIES AND SKILLS
Data handling, manipulation, understanding of sales data, trends, patterns etc. General
understanding of business problems and how to look at it in an analytical point of view in
terms of the kind of data that is needed, how the data needs to be manipulated or analyzed
in order to arrive at the optimal solution to the business problem.
Proficient in using tools such as
 SAS - Proficient in writing SAS coding as well as techniques like Logistic, linear
regressions, carrying out Exploratory Data analysis
 Teradata SQL: Capable of writing queries for extracting, manipulation data in
Teradata, as well as transferring data between SAS and TD
 VBA - Proficient in writing VBA Macros to automate processes, populate graphs,
perform calculations and can build medium complexity tools
 Excel - Experienced in handling advanced excel operations inc luding dash boarding
and reporting.
Trained in analytical operations like:
 Exploratory data analysis.
 Linear Regression.
 Logistic Regression
TECHNICAL SKILLS
SAS, Teradata ,MS Excel, VBA, SQL, MS Powerpoint , R ( Base)

4. ACADEMIC QUALIFICATIONS
Degree Institution CGPA/Percentage Year
Bachelor of Technology
- Mechanical
Engineering
VIT University 8.74 2009-2013
12th
Standard Etasi Timpany Senior
School,Visakhapatnam
85.8% 2008-2009
10th Standard Navy Children School 93.2% 2006-2007
OTHER INFORMATION
 Date of Birth – 27,Jan 1992
 Languagesknown – English,Hindi,Malayalam
 Marital Status - Single