1. NILESH KUMAR
(Statistician)
Gender –Male
Contact No. +918447506647
Email: nileshinfo2@gmail.com
Current Address: 169, Suryodaya Apartment, Dwarka sec-12, New Delhi
PROFILE
Aspiring, enthusiastic and innovative statistician with varied work experience of two years, looking
for a synergistic role in Statistical analysis where there is a place to convert problems into
opportunities and solutions through better insights.
Work Experience: Oct 2014 – Present (Jaivik data Consulting) Designation – Statistical Analyst
April 2015-Present (Apollo Hospitals, Indraprastha) Designation - Consultant Statistician
May 2014-Sep 2014(Kadence International Pvt Ltd.) Designation – Trainee Analyst
Responsibilities:
• Data processing, analysing and applying statistical techniques, generating Graphs & Plots using R,
SAS and SPSS latest versions.
• Develop methodology for Statistical Modelling.
• Provide solutions to problems related to data by understanding data structure and Its
properties through Statistical methods.
• Writing scripts in R for Cypher queries to create, modify and relate nodes in Neo4j Graph
Database for integrating heterogeneous clinical cancer data.
• Programming in R and SAS for raw data handling, Data Normalization, running Principal
component analysis for Dimension reduction, correlation analysis to find association among
variables, Predictive Modelling, Logistic Regression, Time Series Analysis etc.
Projects:
• NGS Methylation data Analysis
Currently working on DNA Methylation project, in which we have to find the genes which are
most affected by cancer disease by analysing DNA methylation and gene expression values.
• Personalized Genomic Data integration Based on Advanced Graph Theory Techniques
Developing code in R for Graph Database to integrate genomic data from multiple sources,
analysis of Clinical Cancer dataset ,visualization using different plots like Bar chart, Pie Chart,
Histogram for categorical/ordinal variables, summary chart for continuous variables,
Principal Component Analysis and Linear Regression. Also involved in graphical representation of
data in edges and vertices format.
• Customer satisfaction Index :
Our client, a global components, systems and modules manufacturer for cars and trucks, wished
to strengthen their position in the global market. In this study we analyse the data of overall
satisfaction with the brand and performance across a number of different business factors
using R & SPSS 17.0 and We were able to identify where performance had improved or
deteriorated in the past 12 months and pinpointed the reasons behind. As a result of the study
the client was able to achieve their objective – to pinpoint the key areas on which they needed to
focus to improve customer relations and increase levels of overall satisfaction.
Summer Internship
(NSSO)
May 12 – Jul 12
Non Sampling Error detection using Normality Test, Outliers detection and data scrutiny methods.
at Data Processing Division, National Sample Survey Office (NSSO). Under
Ministry of Statistics and program implementation, Kolkata.
2. Academic Projects
• Opinion Survey on “Whether coaching institutes/tuition is necessary for competitive exams?”
(In Graduation).
• Opinion Survey on “Is Conversation A Dying Art”(In Masters).
Both the projects include data collection through proper sampling method, preparation ,
analysing, interpretation and report presentation.
KEY COURSES & SKILLS:
Educational Qualification Year of
passing
Institution University/ Board Aggregate %
M.Sc. 2013 Department
of statistics
Banaras Hindu University 7.70(CGPA)
B. Sc. 2011 Faculty of
Science
Banaras Hindu University 7.78(CGPA)
AISSCE 2008 Sunbeam
Academy
CBSE 68.60
AISSE 2006 D.A.V High
School
BSEB 68.14
ACTIVITIES AND AWARDS
• Member of ‘Aakansha’ – The annual cultural youth festival of Faculty of science, BHU.
• Excellent leadership Quality.
• Proficient at team work.
• Proficient in English and Hindi.
Declaration: I, Nilesh Kumar, hereby declare that the information given above is true to the best of my
Knowledge.
• Sampling Technique
• Statistical Modelling
• PCA & Factor Analysis
• Exploratory Data Analysis
• Regression Analysis
• Predictive Modelling
• Text Analytics
• Multivariate Analysis
• Time Series Analysis
• SPSS
• MS-Excel
• Win Cross
• R (Using Packages & writing functions.)
• SQL
• SAS
• Neo4j Database
