Kislaya Kumar Singh provides a summary of his career objective, education, experience, technical skills, projects, and work experience. He has a Post Graduate Program in Business Analytics and Business Intelligence in progress and a Bachelor's degree in Information Science. His experience includes data modeling, machine learning, data analysis tools like Python and R, and statistical modeling. Some of his projects include analyzing cricket data, factor analysis of cereal brands, clustering engineering colleges, and predictive modeling of employee attrition. He has worked as a Technical Lead for Western Union and as a Software Engineer for Symantec, where his responsibilities included API testing, incident management, and executing various security and code coverage tools.

1. Kislaya Kumar Singh
House No.-36, Block A,
Sec 30 near NMC hospital
Noida,UP-201301
Mobile: +917838866473
kislayas93@gmail.com
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Career Objective:
I am always inspired byinnovation and this creates spark in me to learn more and explore new dimensions of
opportunities where Ican bring in my professional experience.I am a very passionate aboutdata and looking forward
to implementnew ideas and take up challenges where Ican inculcate my abilities with the business requirement.
EDUCATION
. PostGraduate Program in Business Analytics and Business Intelligence (PGP-BABI) 2017-18) ---- IN PROGRESS
. Bachelor of Engineering---([2007-2011]Information Science from MVJ college of Engineering,Bangalore
Experience Summary:
. Working with business to understand information and design data models thatalign with business processes
. Innovate and test new technologies with relevance to analytics and business case development
. Experience in machine learning /statistical model building and deployment
. Experience with data manipulation and analysis tools like python,R, Hadoop ecosystems
. Experience in both Supervised (Linear,Logistic Regression,LDA,Decision Tree,Random forest,K neighbour) and
UnSupervised (K means and Hierchical )
. Using frameworks to solve any Business problem ofLinear/Logistic Regression
Technical Skills
. Software : Splunk ,Hadoop,Map Reduce,HDFS, Hive
. Statistical Modelling : Applied Statistics(Linear and Logistic Regression),Classification,Clustering
. Bug/DefectTracking Tool : JIRA, Confluence,E-Track, TFS, TORO, Bugzilla,
. Language :Java, R
. Operating System : Windows 2000/XP, Win 7/8, Linux(Ubuntu)
. IDE : Eclipse
Other Roles and Achievements:
. Awarded 'LIVE WIRE' for excellent performance in maintaining the qualityof projects delivered in Hcl.
. ISTQB Foundation level certification.
. Being a Part of 'Symantec' team (Tru_Dedicated),one of the mostpopular store for Antivirus and services and
highestrevenue generating store for HCL
. Was part of Value Idea Team (ID 87165 (Proactive Analysis for WU.com) for clientWestern Union
. Awarded 'Innovation and Dedication award'from WU client.
1. Projects workedRelated to Data Science
PROJECT 1 :Statistical Analysis of ICC World Cup data from Cricinfo
Concepts & Tools :Statistical Inference, Hypothesis Testing,R
Description: This projectinvolved hypothesis testing and statistical inference in order to compare the performance o f
Sachin Tendulkar and Rahul Dravid in ICC World Cups.Balanced T-tests were used to validate the Null hypothesis
and come to conclusions on various aspects like Batting average,Strike rate and Consistencyin scoring runs.
PROJECT 2 :Factor Analysis of consumer perception on Cereal Brands
Concepts & Tools :Factor Analysis, R
Description: Consumer perceptions towards a brand can be builton various parameters depending upon the
product. This projectuses Factor Analysis to evaluate and identify the mostsignificantattributes thatcontribute
towards the consumer perception ofthe different cereal brands.
PROJECT 3 :Clustering ofthe engineering colleges
Concepts & Tools :Clustering , R
Description: - This projectinvolved clustering ofEngineering colleges based on which Students and parents can
selecta particular college for study. Each Cluster Analysis was done from both Students and Administration pointof
view and also the suggestions were provided accordingly.

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PROJECT 4 :Build CART and Neural Network Model on HR Employee Attrition Data file is provided
Concepts & Tools : CART, Neural Network , R
Description: The purpose ofthis study is to investigate individual employee characteristics and organizational
variables that may lead to employee attrition. Two classification methods used to develop models for predicting
employee attrition.Artificial Neural Network (ANN) model predicted the employee attrition more accurately(85.33%)
than Decision Tree (C&R Tree) model (80.89%).
PROJECT 5 :Analysis of customer churn prediction in telecom industryusing decision trees and logistic regression
Concepts & Tools |Logistic Regression,R
Description: Customer churn prediction in Telecom industryis one of the mostprominentresearch topics in recent
years. It consists ofdetecting customers who are likelyto cancel a subscription to a service. Recently, the mobile
telecommunication markethas changed from a rapidlygrowing marketinto a state of saturation and fierce
competition.The focus of telecommunication companies has therefore shifted from building a large |customer base
into keeping customers in house.For that reason,itis valuable to know which customers are likelyto switch to a
competitor in the near future. The data extracted from telecom industrycan help analyse the reasons ofcustomer
churn and use that information to retain the customers.
2. Project Experience in HCL
Client Western Union
Duration Nov 2012 - Till Date
Position Technical Lead
Environment |Java 1.7, Struts 2.x, Jsp, Hibernate,Ajax, JavaScript, Oracle, Map Reduce,HDFS, Hive
Description: - The Western Union Companyis a financial services and communications company alive in 29
countries and several divisions,with products such as person-to-person moneytransfer,moneyorders,business
payments and commercial services.This projectis made for users to send moneyand pay bills across the world.
Responsibilities:
.Worked on API testing using Postman (add-on provided byGoogle) and SOAP UI.
.incidentmanagementand Release Management
.Code analysis and defectanalysis and provide input to dev team to fix the defect
.API analysis and provide improvementarea to business.
.Creation of Business Health Reports(Weekly,Monthly reports) and interacting with client
.Creation of Business Dashboards,panels and alerts and Scheduling the same
Client :Symantec Corporation
Duration :Dec 2011 - Nov 2012
Position :Software Engineer
Environment :Java 1.5 , Struts 2.x, jsp,Hibernate,Ajax, JavaScript, MySql
Description:
.Execution of all mentioned Securityand Code coverage tools for all Symantec applications we are dealing with (e.g.
NUC, WebDl,WebAct, SSAW, SIAW,|COST, SOS Admin & SSAE).
.Performed Black Box, White Box Testing,Integration,Re-testing and Regression Testing
.Write manual testcases from functional specification and execution of testcases.
.Performing Unittesting,Integration Testing,Re-testing and Regression Testing and Bug tracking