BRUNDA CHOUTHOY

**** **** ***** **** *** #***. Dublin CA, 94568 ac4rtx@r.postjobfree.com 607-***-**** https://www.linkedin.com/in/brundachouthoy

SUMMARY

• Actively looking for full-time opportunities as a Data Analyst/Scientist

• Aspiring Data scientist with a strong academic background in Data analysis, Statistics and Machine Learning.

• Over 3 years of software development experience with good programming skills and strong problem solving capability. SKILLS

SOFTWARE AND PROGRAMMING LANGUAGES: Python, SQL, R TECHNOLOGY AND LIBRARIES: Pandas, NumPy, Sci-kit Learn, Matplotlib, ETL, Tensorflow DATABASES: Microsoft SQL Server (Advanced), Oracle, NoSQL (MongoDB, Cassandra) VISUALIZATION TOOLS: Tableau Desktop, Microsoft Excel MACHINE LEARNING: Classification, Regression, Clustering, Feature Engineering STATISTICAL METHODS: Regression models, Hypothesis testing and Confidence intervals, PCA and Dimensionality reduction, Time Series analysis

BIG DATA ECOSYSTEMS: Hadoop Ecosystem, Apache Hive, Apache Pig, MapReduce, HDFS OPERATING SYSTEMS: Linux, Windows

EDUCATION

DePaul University Chicago, IL

Master of Science in Predictive Analytics Computational Methods GPA: 3.9/4 Jan 2016-Dec-2017 Coursework: Programming Machine Learning applications, Database Processing for Large-Scale Analytics, Data Analysis and Regression, Advanced data analysis, Data Visualization, Foundations of Data Science, Advanced Data Mining, Time Series Analysis and Forecasting, Mining Big Data, Neural Networks and Deep Learning Academic Projects:

• Predictive analytics on Readmission of Diabetes Patients: A data analysis project that explores various machine learning techniques such as classification using Random forest, Decision trees, Naïve Bayes and SVM and clustering with k-means and PCA for reduced dimensionality in clustering. Implemented using Python (Pandas, Numpy, Scikit-learn, Matplotlib).

• Image classification using Convolutional Neural networks: Performance assessment of two multi-layer deep convolutional neural network models using the Python Tensorflow environment for identifying Diabetic Retinopathy(DR) in eye images.

• Analysis of Amazon’s daily stock returns using R: Applied advanced modeling techniques to the analysis of heteroscedastic time series, such as Amazon’s daily stock returns data. Effectively used GARCH functions to analyze model estimates and compare them over different period of times. Implemented using R.

• Performance Analysis of Hadoop Configurations using Big Data Ecosystems: Evaluated performance of Hadoop installed on Amazon EC2 Servers using dataset of various sizes and clusters of single to multiple nodes using various Big Data Ecosystems like Hadoop Streaming, Hive and Pig.

• Data visualization using Tableau: Worked on data exploration and visualizations for the “Kobe Bryant’s shot selection” data obtained from the data science website Kaggle. Visvesvaraya Technological University PESIT Bangalore South Campus Bangalore, India Bachelor of Engineering in Information Science GPA: 3.7/4.00 Sep 2006-June 2010 Coursework: Object Oriented Modeling and Design, DBMS, Management Information Systems, Data Mining, Unix and Shell Programming, Java and J2EE, Operating Systems

PROFESSIONAL EXPERIENCE

Senior Software Engineer – GXS (now OpenText) May 2011–August 2014

• Over 3 years of industry experience in SDLC implementation including Requirement Analysis, Design, Development, Testing, Support activities and Web based Enterprise Applications using Java/J2EE on Unix platforms.

• Worked primarily on Web applications, Unix/Linux Servers, Oracle DBMS, SQL Server, Java and J2EE technologies. Software Engineer – Infosys August 2010 - April 2011 Underwent training in the core concepts of Java, object orientation and SQL