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PRIYA SINGLA
405 Bent Grass Terrace, Fremont CA-94539
priyasingla0601@gmail.com, Ph. (650) 683-0653
OBJECTIVE:
Seeking a challenging opportunity in thefield of Big Data& DataEngineering.
EDUCATION:
Master of Science, Business Analytics (Mar ’17-Expected Graduation’18)
California State University, East Bay GPA 3.67(till Date)
Bachelorof Engineering (Electronics & Electrical Engineering) (Aug’08- Jun’12)
Maharishi Dayanand University, Gurgaon, India
GRADUATE COURSES:
Data Analytics with Python Big Data Technologies & Applications PrescriptiveAnalytics
Database Management Systems Data Analytics & Decision Modelling using Advanced Excel Data Mining using R
Distributed Systems Data Visualization
TECHNICAL SKILLS:
Programming Languages SQL, Python
Databases Oracle SQL
Tools Excel, Advanced Excel, PowerPoint
Operating Systems Windows, Linux
OtherSkills: Understandingof Hadoop Architecture, Hadoop configurations and daemon logs, Hadoop cluster maintenance and Administration,
Knowledge on Hadoop security using Kerberos, Optimizing MapReduce, Hadoop Ecosystemand its components , Knowledge on Components like
HBase, Hive and Spark. Hadoop cluster monitoring, Linux Administration and Advanced Administration, Networking, SSH connections and
building clusters on VM.
ACADEMIC PROJECTS:
Data pipeline forTwitterstreaming data analysis:
 Build a 4 node Hadoop cluster on AWS EC-2 instances
 Configured Flume along with the cluster to have streaming data flow from Twitter App and store in HDFS
 Process and analyze the data using Spark for which implemented Spark on cluster
 Saved the analyzed data to Cassandra(NoSQL) database.
Cloudera Hadoop ClusterSetup
 Built a 3-node Hadoop cluster (Master-Slave configuration) on virtual machine with Linux Centos7
 Configured 3 nodes (1 Master and 2 Slaves) and SSH connections among them
 Configured all Hadoop namenode configuration files like hdfs-site.xml, Hadoop-env.sh, yarn-site.xml, mapred-site.xml, core-site.xml
 Set the paths for all environment variables in .bashrc file and ran Hadoop cluster along with Cloudera Manager
 Modifying host files to configure the listening ports for other datanodes
 Made directories and store files on HDFS
 Assigning roles and executing rights to the files
 Ran MapReduce jobs and tracked them through Job Tracker and Task Tracker
 Monitor the entire work through Cloudera Manager
ATM Management System
 Developed a systemusing Object Oriented Programming in Python and MySQL
 Created user interface for ATM users to do transactions such as fast cash, fund transfer and cash withdrawal
 Created user interface for Bank System to add new account, deposit details, withdrawal details, etc
Machine Learning in R
 Deployed different Machine Learning techniques on Titanic Dataset containing titanics’ passengers details
 Analyzed the result to find the most effective and efficient techniques for thedataset
 Decision Trees prove to give best accuracy in terms of predicting correct Survival of passengers from titanic’s collision incident, hence
gave best efficiency and effectiveness
Database Model for Business Process:
 Built a Database model on SQL Plus
 Created a Retail Database for easy transactions, Customer purchase, Employee salaries, Store name, Product details etc.
Retail Analytics Report:
 Analyzed profitability reports using Excel data analytics tools like forecasting (Exponential smoothing & Moving average), Linear
Regression, MultipleRegression, Pivot tables and Graph Charts
 Analyzed areas of improvements by studying regression models
PROFESSIONAL EXPERIENCE:
Bata India Ltd., Gurgaon, India (Mar’14-Apr’16)
Assistant Manager- Project (Retail BusinessOperations)
 Managed assets, spaceallocation between retail stores and vendor workflow process
 Delivered more than 80% projects within given budget and timeline
 Collaborated with cross-function team members to meet project deadlines
 Budgeted and planned projects for efficient retail operations
 Implemented action plans for low revenue generating stores
 Performed risk analysis to achieve maximum output using available resources
GE India, Gurgaon, India (Jan’13-Feb’14)
Graduate EngineerTrainee (GE Lighting Division)
 Delivered appropriatetechnical design solutions for business lighting customers to provide best ROI
 Worked with clients to comprehend their requirements
 Organized detailed reports and audits to computebest savings and other associated parameters for the company
 Optimized product design to fulfill client expectations and requirements
Achievements:
Global Reward and Recognition awarded by theCEO, General Electric India in January 2014 for best Graduate Engineer Trainee
VISA STATUS:
F1 (student) visa - Entitles to work on OPT for a period of 3 years after graduation in 2018 and eligible for an internship starting January 2018

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Big data cv

  • 1. PRIYA SINGLA 405 Bent Grass Terrace, Fremont CA-94539 priyasingla0601@gmail.com, Ph. (650) 683-0653 OBJECTIVE: Seeking a challenging opportunity in thefield of Big Data& DataEngineering. EDUCATION: Master of Science, Business Analytics (Mar ’17-Expected Graduation’18) California State University, East Bay GPA 3.67(till Date) Bachelorof Engineering (Electronics & Electrical Engineering) (Aug’08- Jun’12) Maharishi Dayanand University, Gurgaon, India GRADUATE COURSES: Data Analytics with Python Big Data Technologies & Applications PrescriptiveAnalytics Database Management Systems Data Analytics & Decision Modelling using Advanced Excel Data Mining using R Distributed Systems Data Visualization TECHNICAL SKILLS: Programming Languages SQL, Python Databases Oracle SQL Tools Excel, Advanced Excel, PowerPoint Operating Systems Windows, Linux OtherSkills: Understandingof Hadoop Architecture, Hadoop configurations and daemon logs, Hadoop cluster maintenance and Administration, Knowledge on Hadoop security using Kerberos, Optimizing MapReduce, Hadoop Ecosystemand its components , Knowledge on Components like HBase, Hive and Spark. Hadoop cluster monitoring, Linux Administration and Advanced Administration, Networking, SSH connections and building clusters on VM. ACADEMIC PROJECTS: Data pipeline forTwitterstreaming data analysis:  Build a 4 node Hadoop cluster on AWS EC-2 instances  Configured Flume along with the cluster to have streaming data flow from Twitter App and store in HDFS  Process and analyze the data using Spark for which implemented Spark on cluster  Saved the analyzed data to Cassandra(NoSQL) database. Cloudera Hadoop ClusterSetup  Built a 3-node Hadoop cluster (Master-Slave configuration) on virtual machine with Linux Centos7  Configured 3 nodes (1 Master and 2 Slaves) and SSH connections among them  Configured all Hadoop namenode configuration files like hdfs-site.xml, Hadoop-env.sh, yarn-site.xml, mapred-site.xml, core-site.xml  Set the paths for all environment variables in .bashrc file and ran Hadoop cluster along with Cloudera Manager  Modifying host files to configure the listening ports for other datanodes  Made directories and store files on HDFS  Assigning roles and executing rights to the files  Ran MapReduce jobs and tracked them through Job Tracker and Task Tracker  Monitor the entire work through Cloudera Manager ATM Management System  Developed a systemusing Object Oriented Programming in Python and MySQL  Created user interface for ATM users to do transactions such as fast cash, fund transfer and cash withdrawal  Created user interface for Bank System to add new account, deposit details, withdrawal details, etc Machine Learning in R  Deployed different Machine Learning techniques on Titanic Dataset containing titanics’ passengers details  Analyzed the result to find the most effective and efficient techniques for thedataset  Decision Trees prove to give best accuracy in terms of predicting correct Survival of passengers from titanic’s collision incident, hence gave best efficiency and effectiveness Database Model for Business Process:  Built a Database model on SQL Plus  Created a Retail Database for easy transactions, Customer purchase, Employee salaries, Store name, Product details etc. Retail Analytics Report:  Analyzed profitability reports using Excel data analytics tools like forecasting (Exponential smoothing & Moving average), Linear Regression, MultipleRegression, Pivot tables and Graph Charts  Analyzed areas of improvements by studying regression models
  • 2. PROFESSIONAL EXPERIENCE: Bata India Ltd., Gurgaon, India (Mar’14-Apr’16) Assistant Manager- Project (Retail BusinessOperations)  Managed assets, spaceallocation between retail stores and vendor workflow process  Delivered more than 80% projects within given budget and timeline  Collaborated with cross-function team members to meet project deadlines  Budgeted and planned projects for efficient retail operations  Implemented action plans for low revenue generating stores  Performed risk analysis to achieve maximum output using available resources GE India, Gurgaon, India (Jan’13-Feb’14) Graduate EngineerTrainee (GE Lighting Division)  Delivered appropriatetechnical design solutions for business lighting customers to provide best ROI  Worked with clients to comprehend their requirements  Organized detailed reports and audits to computebest savings and other associated parameters for the company  Optimized product design to fulfill client expectations and requirements Achievements: Global Reward and Recognition awarded by theCEO, General Electric India in January 2014 for best Graduate Engineer Trainee VISA STATUS: F1 (student) visa - Entitles to work on OPT for a period of 3 years after graduation in 2018 and eligible for an internship starting January 2018