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Data Analyst, SAS programmer

Location:
Morrisville, NC
Salary:
No specific limit
Posted:
September 11, 2017

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Resume:

Gopika Malik

Associate of Applied Science Degree in Business Analytics

Master in Business Administration (2002 - 2004)

Passionate Mathematician transitioning to Analytics to reveal unknown insights of Data

Phone: 919-***-****

https://www.linkedin.com/in/gopika/

ac1882@r.postjobfree.com

Technical Expertise:

Programming languages and Tools: SAS Studio University Edition, Python Scripts, Weka

Data Bases: Postgre SQL

Microsoft Office - Ms Word, Excel, Power point

Software – Tableau, Apache Hadoop

SO - Linux, Windows

Servers: Apache Ambari

Data Modeling Techniques - Logistic Regression, Linear Regression, Decision trees, Random Forest,

K-Means, Support Vector machines, Hierarchal Clustering

Education

Master’s in Business Administration, Delhi University, India May 2004

Bachelor’s in Business Administration, Delhi University, India May 2002

Bachelor’s in Education, Guru Gobind Singh Indraprastha University, India April 2005

Training and Certifications:

Associate of Applied Science Degree in Business Analytics,

Wake Technical Community College, Raleigh, North Carolina Anticipated May 2018

Current GPA 4 - Listed in the Prestigious President’s List in Summer 2017

Business Intelligence Certificate from Wake Tech

Business Analyst Certificate from Wake Technical (Complete in December 2017)

Preparing for Base SAS Certification (Planning to take test in September 2017)

Wake Technical Community College, NC - Project Summary –

1)Wake County & North Carolina Live Data Set – Real Estate, Traffic Stop Data & Speeding Tickets (Jan 2017– Apr 2017)

Prediction and Data Modeling using - Logistic Regression, Linear Regression, Decision Trees, Random Forest, K- Means, Support Vector Machines, Hierarchal Clustering for Wake county and North Carolina Real Data

Real Estate (2015 Data) – Wake County, NC

Worked on live Wake County Property data set to do modeling in calculating Home prices for 22,385 houses with 96 features including year built, deeded acreage, zip code and basement percent.

Traffic Stop (2015 Data) – North Carolina

Analyzed 2015 data from 1.4 million traffic stops conducted by Police department in the state of North Carolina.

2)Traffic Speeding Tickets (2012-2016 data) – Wake County, NC

Worked on actual 1.1 million Speeding tickets with 38 variables issued by NC, Wake County Police Officers

3)Talking Data Mobile User Demographics – China’s largest Big Data service platform (Oct 2016– Dec 2016)

Using Tableau Created interactive dashboards to visualize 25 million records of users based on App download & usage behavior.

4)Titanic Data Set – Project to Explore Survival Rate (Aug 2016– Oct 2016)

Statistical Data Analysis, Prediction and Data Modeling using Microsoft Excel. Conducted descriptive

and summary statistics, statistical modeling using expected values from chi square tests.

5)Caravan Project - Used car auction data set (Aug 2016 – Oct 2016)

Analyzed Used Car Auction data set listed on Kaggle to predict – Is Good buy or Is Bad Buy for used cars in auction. Statistical Data Analysis, Prediction and Data Modeling using MS-Excel on used cars in Auction.

Experience:

Ryan International School, New Delhi, India

Mathematics Teacher, Section Supervisor Apr 2004 – Apr 2016

Responsibilities:

To create and implement the Academic curriculum of Math as per the standards of the Board of Education.

Works with the principal to create a school-wide focus on goals for mathematics achievement.

Oversees the math assessment procedure, training, data collection at the sectional level.

Regularly collect and disseminate district-wide assessment data to determine growth, trends, and areas of weakness for instructional improvement and professional development.

Awards and Recognition:

Selected as the Proud member of “The National Society of Leadership and Success”.

Listed twice on the President’s list of Excellency in Spring and Summer 2017.

Listed on Dean’s List of Excellence in Fall 2016.



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