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Telecom big data resume: Three examples

With nearly a thousand jobs currently listed for telecom data analysts on Indeed and companies scrambling to design and implement big data strategies at telecom companies, a polished resume is a strong step toward a position in telecom’s big data boom.

Robert Half Technology categorized big data engineers as one of their six high-paying careers in tech in 2015 that also had rising salaries, expecting to see big data engineers get a boost in their already-strong starting salaries of $119,250 to $168,250.

“As organizations of all types launch or advance big data initiatives, many will look to hire experienced engineers who can communicate with business users and data scientists, and translate business objectives into data processing workflows,” the company concluded.

The first step to a big data job, or a new position, is a solid resume. RCR collected three examples of telecom big data resumes listed below, ranging from an experienced technologist to a soon-to-be-college graduate seeking an entry-level position. Skills, including specifics of programming languages, vendor specificity, and broad expertise are sought by many companies — but soft skills, including good communications and ability to work as part of a team, are also asked of data science experts. For students and recent graduates, mentioning coursework in the related subject areas as well as specific projects and tools used can help get a foot in the door.

Telecom Big Data Resume Example 1:

 John A. Smith

123-456-7890

[email protected]

 

SUMMARY:

8+ Years of extensive experience which includes big data and big data analytics in the content management and telecom domains.

First point of contact for R&D activities and critical problems.

In-depth understanding of Data Structure and Algorithms.

Experienced in:

  • Installing, configuring, and administrating Hadoop cluster of major Hadoop distributions.
  • Hands-on experience in writing MapReduce jobs in Java, Pig and Python.
  • Working with Java, C++ and C.
  • Extensive experience in designing analytical / OLAP and transactional / OLTP databases.
  • Hadoop applications, including administration, configuration management, debugging, and performance tuning.
  • Deploying applications in heterogeneous application servers.
  • Creating web-based applications using ActiveXControls, JSP, Servlets
  • Creating web pages using HTML, DHTML, Java Script, VB Script and CSS

 

Excellent analytical, problem solving, communication and interpersonal skills with ability to interact with individuals and work as part of a team or independently. Effective at communications with all levels of an organization, including technical, customers and management.

Ability to perform at a high level, meet deadlines, adaptable to ever changing priorities.

 

Education: Bachelors in Computer Science, University A

Technical Summary

Big Data Ecosystem:

Expertise in Hadoop, MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop, Cassandra,Oozie, Flume, Chukwa, Pentaho Kettle and Hortonworks Talend

Ingestion tools including NetBeans, Eclipse, WSAD, RAD

Deep understanding of :

Java 5, Java 6, JAXP, AJAX, I18N, JFC Swing, Log4j, Java Help API; JSP 2.1 Servlets 2.3, JDBC 2.0,JNDI, XML, JAXP, and Java Beans

Agile, UML, Design Patterns

Ajax, Struts 2.0, JUnit, log4j 1.2, MOCK OBJECTS, Hibernate

Oracle 10g, DB2,MySQL

Apache Tomcat 5.x 6.0, Jboss 4.0

SQL developer, DB visualize

Additional tools: HTML, Java Script, XML, DTD, Schemas, XSL, XSLT, XPath, DOM, XQuery

Previous Roles:

Company B

Ooctober 2010-Present

Title: Hadoop developer

Responsibilities:

  • Installed and configured HadoopMapReduce, HDFS, Developed multiple MapReduce jobs in java for data cleaning and processing.
  • Importing and exporting data into HDFS and Hive using Sqoop
  • Defining job flows
  • Managing and reviewing Hadoop log files
  • Running Hadoop streaming jobs to process terabytes of xml format data
  • Loading and transforming large sets of structured, semi structured and unstructured data
  • Managing data coming from different sources
  • Jobs management using Fair Scheduler
  • Cluster coordination
  • Automating data jobs

Company C, September 2007-October 2010

Title: Java Developer

Responsibilities:

  • Understanding the scope of the project and requirement gathering.
  • Developing web tier using JSP, Struts MVC to show account details and summary.
  • Created and maintained the configuration of the Spring Application Framework (IoC).
  • Implemented various design patterns – Singleton, Business Delegate, Value Object and Spring DAO.
  • Mapped business objects to database using Hibernate.
  • Involved in writing Spring Configuration XML files that contains declarations and other dependent objects declaration.
  • Used Tomcat web server for development purposes.
  • Used Oracle as Database and used Toad for queries execution.
  • Write SQL scripts and PL/SQL code for procedures.
  • Involved in creation of test cases.

Certifications

Hortonworks Certified Hadoop Administrator, 2011
Hortonworks Certified Hadoop Developer, 2011
Cloudera Certified Hadoop Developer, 2010
Cloudera Certified Hadoop Administrator, 2010

Telecom Big Data Resume #2

Summary

I have 15 years of experience in Predictive Analytics, Informatics, and Visualization. I am a fairly hands-on technical manager with a penchant for strategic business thinking. While I had started my career in the business intelligence domain, much of my recent work has been in predictive analytics. I have worked as a Vice President in Analytics & Technology, grown large analytics teams, and managed analytics business. The bulk of my work has been in the telecommunications domain with a focus on business intelligence. 

Key Accomplishments

  • Implemented cross-selling analytics initiatives which have shown 32 percent CAGR increase in revenues for specific products
  • Developed a contributed value and risk adjusted marketing offer optimization framework with yearly impact of $7 MM a year 
  • Managed delivery of cross-sell, upsell and retention marketing strategies & models across clients in multiple domains
  • Big Data Solution “Skills Tracker” potential solution for collecting data and reporting for individual employees
  • Developed analytics and strategy to integrate debt collection analytics in outbound calling operations
  • Implemented analytics delivery on cloud-based visualization platform
  • Structured a Value added Reseller agreement with a BI platform vendor to provide domain-specific mobile analytics solution
  • Played the role of data architecture steward across global implementation of CRM Analytics data 
  • Delivered 10x impact from high-valued analytics consulting engagements for multiple clients

Tools and Techniques

  • Technologies: SAS Enterprise Guide, R, Octave, Mat lab, CART-MARS
  • Supervised: Linear Regression, Logistic Regression, Neural Network, Support Vector Machine, Decision Trees
  • Unsupervised: K-means clustering, Anomaly Detection, Recommender Engine
  • Business/ Mobile Intelligence: MicroStrategy 9.x, Business Objects XI, MS Analysis Server 2000
  • Big Data Visualization: Tableau Public 8.0, IBM Many Eyes, Processing
  • Data Sources: Oracle 10i, SQL Server 2000, SQLite, MySQL, SAS, JSON
  • Programming: Python 2.7.x, SQL, In memory databases, Hadoop and Big Data Framework
  • ETL: Informatica 4.x, Oracle Warehouse Builder 8.x, SQL Server DTS

Education

  • Master of Science, 2000, University A, USA
  • Bachelor of Technology, 1996, College B, USA

Career Progression

  • Big Data Analytics & Strategy Independent Consultant, 2013-present
  • Company R, Vice President-Decision Analytics, Transformation Business, December 2009-April 2013
  • Assistant Vice President, October 2005-June 2007
  • Company G, Senior Manager, October 2003-September 2005
  • Company G, Technical Manager, October 2002-October 2003
  • Company F, Technical Support Engineer, Anytown USA, June 2000 to October 2002

Certifications

  • DMAIC Six Sigma Training
  • SAS workshop in CRM through Data Mining

Telecom Big Data Resume #3:

R. Patel

[email protected]

987-654-3210

Summary: I’m an ambitious, self-motivated individual with a strong attention to detail. I’m able to easily meet deadlines and am comfortable working remotely as well as on-site.

I’m actively seeking internships in data analytics, business intelligence and big data for the spring and summer of 2016. I am currently a student at University B in Anytown, U.S. and will be graduating in May 2016 with a Master’s degree in Business Analytics.

Experience

Software Engineering Intern

Company C

May-September 2013

  • Worked on development of company web site and search engine.
  • Accountable for all ‘Service Level Agreement’ (SLA) changes sought by the requestor
  • Responsible for planning & scheduling releases
  • Work closely with Problem Management, Change Management, Release Management, the Support Center, Service Delivery processes, and the security group
  • Environment: Visual Studio 2010, C#, .NET, ASP.NET, AJAX, Microsoft SQL Server 2010, JavaScript

Skills:

MySQL

JavaScript

C

Microsoft Excel

Microsoft Office

Education:

University of A

Master of Science (M.S.), Business Analytics

2015 – 2016

Predictive and descriptive analytics using tools like SAS, Stata, and Tableu. Academic project to predict the effect of parks and open spaces to the crime resolution rate in City C. Also involved in Analytics and Business Intelligence Society.

College B

Bachelor of Engineering (BE), Information Technology

2009 – 2013

Organizing member of a national technical event in 2013. Academic project to provide Internet access on phones without GPRS/EDGE connectivity. Constructed a database system for related work called My DateBase Name.

 

Courses

University A

  • Applied Econometrics
  • Business Intelligence using SAS
  • Database Foundation
  • Quantitative Intro to Risk and Uncertainty in Business
  • Financial Management
  • Accounting for Managers
  • Quantitative Methods in Finance
  • Prescriptive Analytics

Certifications: 

Certified Ethical Hacker

Projects

Analysis of Crime Rates in City A, April 2014

Analyzed publicly available city crime data and found a relation between number of parks in the area and green coverage to the crime rate, using SAS Enterprise Miner. Predictive models like regression and decision trees were used.

Awards

Dean’s Scholarship

University A, received January 2013

 

ABOUT AUTHOR

Kelly Hill
Kelly Hill
Kelly reports on network test and measurement, as well as the use of big data and analytics. She first covered the wireless industry for RCR Wireless News in 2005, focusing on carriers and mobile virtual network operators, then took a few years’ hiatus and returned to RCR Wireless News to write about heterogeneous networks and network infrastructure. Kelly is an Ohio native with a masters degree in journalism from the University of California, Berkeley, where she focused on science writing and multimedia. She has written for the San Francisco Chronicle, The Oregonian and The Canton Repository. Follow her on Twitter: @khillrcr