My latest resume

1. KOMPELLA KAUSHIK
901, Apt #1002, S. Ashland Ave, Chicago, IL – 60607 (312)-871-8673, kkompe2@uic.edu
SUMMARY
 A data science enthusiast who wants to explore uncharted territories of big data
 Experience leading analytics projects using and creating executive level reports based on findings
SKILL SET
 Statistical Software: RapidMiner, Python, R, Hadoop, MapReduce, SAS Enterprise Miner
 Basic Programming: C, Java, html, SQL Server, MySQL
 Data Visualization: Tableau
EDUCATION
Master of Science in Business Analytics Expected 12/2017
University of Illinois at Chicago – Liautaud Graduate School of Business
Bachelor of Technology in Computer Science Engineering, GPA-3.72/4.00 06/2014
Jawaharlal Nehru Technological University – Hyderabad, India
EXPERIENCE
Business & Marketing Analyst, Co-Founder – Valmore.in – Hyderabad, India 06/2014-12/2014
 Created a platform for student community to get updated about various offers and events
 Analyzed business requirements for developing and marketing the product
 Managed A-Z in the start-up with more stress on customer and marketing analytics
Assistant Systems Engineer –TATA Consultancy Services Ltd – Hyderabad, India 12/2014-06/2016
 Led the automation team of 15 and developed automation scripts in UFT12.0
 Prepared Return of Investment which saved 85% efforts for automation execution over manual
 Exposed to Software Testing process with various Life cycle models like Agile
ACADEMIC PROJECTS-
 Movie Recommender System: Led a team of 3 graduate students to develop and analyze a movie
recommender system based on a data set consisting of over 100,000 ratings from around 1000
users and 1700 movies. Evaluated the performance using collaborative filtering algorithms like
Matrix Factorization for predicting ratings. Movies with high ratings were recommended to a
user. Reduced RMSE by 22% compared to the state of the art. Tool used: RapidMiner
 Analyses of Airline’s On-Time Performance: Led a team of 8 to effectively perform exploratory
analysis and present a visualization of American Airlines on-time performance metrics &
performance with respect to other competitors using Bureau of Transportation Statistics data set
containing more than 1 million rows & 147 variables for the year 2015-2016. Tool used: Tableau
 Target Fund Raising: Developed a classification model for a national veteran’s organization to
improve the cost effectiveness of their direct marketing campaign and capture potential donors.
Technique - Cleaned the data set containing around 500 attributes and 10,000 data points.
Reduced the dimensions in the data using PCA. Selected final set of variables using Random
Forests variable importance techniques. Applied machine learning algorithms like Decision Trees,
Logistic Regression, Naïve Bayes, Gradient Boosting, and SVM’s to build the model
LEADERSHIP
 Project Lead – Inkind Consulting- Ryan Banks Academy (Non-Profit) - Chicago 09/2016-Current
 Vice-President – TCS Waverock Toastmasters Club, Hyderabad India 07/2015-07/2016
HONORS and CERTIFICATIONS
 Got selected and won the best “Product Design and Business Model” presentation at the
prestigious Indian Institute of Technology, Madras in the year 2013
 World Rank 1 in Hackerank Python challenge
 Certified in Data Driven Decision Making from PwC and Coursera
 Won the Humorous Speech contest conducted by Toastmasters Public Speaking Group in 2015
 National Record Holder for doing the largest cube art with 8000 Rubik’s Cubes