Koushik Modayur Chandramouleeswaran has extensive experience developing software using various programming languages and technologies. He is pursuing a Master of Science in Computer Science from The University of Texas at Arlington with a GPA of 3.62/4.0 and holds a Bachelor of Technology in IT from Bharath University in India with a GPA of 8.44/10. He has worked as an Associate and Programmer Analyst at Cognizant Technology Solutions, developing tools and reports to help clients save over $120k. Koushik has strong skills in Python, Java, R, databases, big data technologies and machine learning. He has completed several projects applying techniques like decision

1. Koushik Modayur Chandramouleeswaran
607, Summit Avenue  APT 396 ARLINGTON TX 76013 (682)-230-1906  koushik394@gmail.com
EDUCATION
MASTER OF SCIENCE (COMPUTER SCIENCE) GPA 3.62/4.0 Graduating: May'16
The University of Texas at Arlington, Texas, USA.
BACHELOR OF TECHNOLOGY (I.T) GPA 8.44/10 Graduated: May'09
Bharath University, Chennai, India.
RELEVANT COURSE WORK
Distributed Systems Cloud Computing Database Models and Implementations
Data Mining Machine Learning Enterprise Software Development
Design and Analysis of Algorithms Database System
WORK EXPERIENCE
Cognizant Technology Solutions, Chennai, India
Associate, Projects June'13-July'14(13months)
 Developed a prediction tool to predict the overall runtime of the batch processing. This prediction ensured that appropriate
measures could be taken for completing the process within the SLA in case of delays.
 Developed software modules to automate payee addition functionality thereby reducing the cost by $20k.
Programmer Analyst March'10-June'13 (39 months)
 Worked as a developer in the Business Intelligence team and developed reports for a leading financial institution.
 Developed business critical reports which were used to take strategic business decisions resulting in a savings of $100K.
CERTIFICATIONS
EDX
 Introduction to Big Data with Apache Spark
 Scalable Machine Learning
 Big Data X Series
Coursera
 Data-science Specialization
o Statistical Inference
o Regression Models
TECHNICAL SKILLS
Programming Languages/Scripting: Python, Java, R, Open Edge Progress 4 GL
Databases: MySQL, Oracle, MS SqlServer, Amazon Dynamo DB, MongoDB
Big Data/Cloud: Hadoop, Apache Spark, Hive, Pig, Cassandra, Amazon Web Services (AWS), Google AppEngine
Web Development: Html, Css, JavaScript, J2EE, Php, Flask
Libraries/packages: Numpy, Scipy, sci-kitlearn, Pandas, Weka
PROJECTS
Decision Tree and Bagging: Built a Decision Tree based classifier in python [Accuracy: 72%].Bagging was implemented by building
training dataset using the re-sampling with repeats [Improved Accuracy: 84%].
KNN Classifier: Built a K-nearest neighbor classifier using python. The task of the classifier was to predict the gender of a person given the
other attributes [Accuracy: 85%].
Search Engine: - Built a search engine for retrieving medical prescriptions of patients from MongoDB. Bootstrap was used to design the
user interface on the flask framework along with Jinja2.
Movie Recommendation Using Apache Spark: Collaborative filtering method was used to perform movie rating predictions, a prediction
model was built using the Alternating Least Squares implementation in MLLIB in Spark and cross-validated.
Image classification using Artificial Neural Network: Developed a neural network based image classifier in Octave using back
propagation and gradient descent [Model Accuracy: 80%].
Data clustering visualization in D3.js: Developed a responsive web application using D3.js hosted in AWS Elastic Beanstalk to upload
data, choose attributes to cluster, cluster using Weka and visualize the clustered scatterplots.
Exploratory Data Analysis Using Hadoop and R: Developed a Map-Reduce program to analyze NCDC data to perform predictive time-
series analysis of different climatic attributes and visualize the results in R.
GitHub: - https://github.com/Koushikmc/ LinkedIn: - www.linkedin.com/pub/koushik-chandramouleeswaran/14/958/3ab/