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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 leadinganalyticsprojectsusingandcreating executive level reportsbasedonfindings
SKILL SET
Statistical Software:RapidMiner,Python,R,Hadoop,MapReduce,SASEnterprise Miner
Basic Programming: C, Java, html,SQLServer,MySQL
Data Visualization:Tableau
EDUCATION
Masterof Science inBusinessAnalytics Expected12/2017
Universityof Illinois atChicago–LiautaudGraduate School of Business
Bachelorof TechnologyinComputerScience Engineering,GPA-3.72/4.00 06/2014
Jawaharlal NehruTechnological University–Hyderabad,India
EXPERIENCE
Business& MarketingAnalyst,Co-Founder–Valmore.in –Hyderabad,India 06/2014-12/2014
Createda platformforstudentcommunity togetupdatedaboutvariousoffersand events
Analyzedbusiness requirementsfordevelopingandmarketingthe product
Managed A-Zinthe start-upwithmore stresson customerandmarketinganalytics
AssistantSystemsEngineer–TATA ConsultancyServicesLtd – Hyderabad,India 12/2014-06/2016
Led the automation team of 15 and developed automation scripts for a healthcare project
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
ACADEMICPROJECTS
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Movie RecommenderSystem:Ledateamof 3 graduate students todevelopandanalyze 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 withrespect toothercompetitorsusing Bureauof TransportationStatistics dataset
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 effectivenessof theirdirectmarketingcampaignand 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
Forestsvariable importance techniques.Appliedmachine learningalgorithms likeDecisionTrees,
Logistic Regression, Naïve Bayes, Gradient Boosting, and SVM’s to build the model
LEADERSHIP
ProjectLead – InkindConsulting- RyanBanksAcademy (Non-Profit) - Chicago 09/2016-Current
Vice-President–TCS WaverockToastmastersClub, HyderabadIndia 07/2015-07/2016
HONORS and CERTIFICATIONS
Got selectedandwonthe best“ProductDesignandBusinessModel”presentationatthe
prestigious IndianInstitute ofTechnology,Madras inthe year2013
WorldRank 1 inHackerankPythonchallenge
Certifiedin DataDriven DecisionMaking fromPwC and Coursera
Won the Humorous Speechcontestconductedby Toastmasters Public SpeakingGroupin 2015
National Record Holderfor doingthe largestcube art with8000 Rubik’s Cubes