Ravi Prakash Singh is a highly motivated individual seeking opportunities in big data, Hadoop, and machine learning, with a B.Tech in Information Technology and relevant experience in data processing and analysis. He has hands-on expertise with various big data technologies and has undertaken projects related to offline retail wallet analysis and machine learning using Apache Spark. His strengths include dedication, teamwork, and a commitment to continuous learning.

1. CURRICULUM VITA
Ravi Prakash Singh
V-184,sec-12
Date of Birth : Jul 10, 1991 Noida -201301
Father's Name :Sri Maheshewar P. Singh Mobile:7210629149
Gender :Male Rpsingh383@gmail.com
Nationality :Indian
OBJECTIVE
Looking for an oportunity in Big Data / Hadoop And Meachine Learning My mission is to work hard to the
best of my abilities , so the any contribution made is of value to the organization and to obtain a challenging
position in an organization. I aim to excel in all assignments designated to me ,enhance my technical and
personal skill through Experiences and contineued learning.
EDUCATIONAL QUALIFICATIONS
Course
Discipline/
Specialization
School/ College Name Board/
University
Year of
Passing
Aggregat
e
Percentag
e
B.Tech
Information
Technology
Rajrashi Rananjay Sinh Institute
of Management & Technology
(UP)
UPTU 2013 68%
12th
Science S.G.V .I.C UP Board 59%
10th
General Maharaja Inter College UP Board 2006 58%
SKILL SET
Plateforms : Linux (Mint), Windows 7
Technologies : Big Data Technologies – Hadoop , HDFS, Map Reduce, Hive, Pig, Hbase,
Sqoop, Shell Scripting, SQL, Advanced Excel, Scala, Spark.
Languages : Java Oops Concepts- Inheritance, Method Overriding, Method Overloading,
Constructor, Interfaces, Exception Handling, Multithreading, Reflection, Collection,
Servlet.Scala.
Web Technologis : HTML,CSS,Jquery.
Software : Eclips,Netbeans,Adobe Dreamweaver,Xamp,Wamp.
PROFESSIONAL SUMMARY
* Current Project- Not Disclosed (Under Non-Disclosure Agreement)
* Project Undertaken(PAYTM)-Offline Retail Wallet Analysis – Processing the entire Transactional data
and drawing the insights, Analyzing the active merchants, Analyzing the GMV (MTD) (LMTD) basis.
* Reporting the Offline Wallet Growth (Retail, Auto/Texi, Hotels) Number and amount of transcations from
various Geographical Areas.
* Capable in processing large set of structured, semistructured, Unstructured large data sets and suporting
Systems application archictecture.
* Provisioning,Installing, configuring, monitoring, and maintaining , HDFS,Yarn ,Hbase, flume, Sqoop,
Pig, Hive, Spark.
* Write Efficient MapReduce Job (java,scala), pig script, Hive scripts
* Installation of various hadoop ecosystems and its domains.
* Undertaken a project of machine learning using Apache Spark.
2008

2. Technologies : Big Data Technologies – Hadoop , HDFS, YARN, Map Reduce, Hive, Pig, Hbase,
Sqoop, Shell Scripting, SQL, Advanced Excel, Scala,flume, Spark.
Interest : Meachine Learning ,Data Science.
Domain : Big Data
March 2015 to till
Tenure : Date
ACHIVEMENTS
Won Game Tech award ad Chess (Annual function PAYTM)
Recognized as “Star of the Months” twice in PAYTM.
STRENGTHS
Perfection is what I am for .
Passionate and Self-motivated for the work I do.
Dedication and Commited for the task assigned
Knowledge sharing makes me a good team player and good learner
DECLARATION
I hereby declare that the information furnished in this resume is true to the best of my knowledge
and belief.
Data : Ravi Prakash singh
Place: