Data Software Developer

Deepika Patra

***** ******** ***, *** ***, Herndon, VA 20171

315-***-**** *******@***.*** linkedin: deepikapatra github: Deepika EDUCATION

Arizona State University, Tempe Expected in Dec 2020 MS, Computer Engineering(Computer Systems) GPA:4.0/4 National Institute of Technology, Rourkela May 2015 Bachelor of Technology, Electronics and Instrumentation GPA: 8.66/10 TECHNICAL SKILLS

Programming Languages Python, Matlab, Java, C++, JavaScript, HTML Data Science Libraries and Visualization Pandas, Numpy, SciPy, Scikit-learn, Matplotlib, Tableau Big Data and Databases Apache Spark, MapReduce, Hadoop, MySQL, MongoDB Machine Learning Classi cation, Regression, Clustering, NLP, Image processing Reinforcement Learning Q-Learning

Deep Learning Tensor ow, Keras

Cloud Technologies AWS(EC2, S3, SM), GCP(compute engine, cloud storage, colab) WORK EXPERIENCE - MACHINE LEARNING AND SOFTWARE DEVELOPMENT Idaho National Laboratory Jun 2020 - Present

Machine Learning Engineer Intern Idaho Falls, ID

Created Deep neural network models (with dropout, L1 and L2 regularization) to predict power system contingencies.

Generated power system contingency data using grid2op framework and analyzed real-time power grid data.

Implemented neural network architecture Leap nets for higher order (> 2) contingency data.

Technology used - Python, Tensor ow, Keras, Git

IBM India Jun 2015 - Mar 2018

Associate Software Developer Bangalore, India

Extracted AT&T network device data from Oracle DB using JDBC and PL/SQL, data engineering using Core Java and loading back into Oracle DB.

Implemented data pipeline for network device and router data for distributed data processing and generating user billing statements.

ACADEMIC PROJECTS

Geospatial Data Processing Engine (Python, Java) Aug 2019 - Dec 2019

Setting up Hadoop clusters and Spark integration in multiple AWS EC2 machines.

Hot spot Analysis on big data(NYC Taxi Trip datasets) using Apache Spark and Hadoop. Multimedia Information retrieval (Python, Git, Machine Learning) Aug 2019 - Dec 2019

Performed dimensionality reduction using PCA, SVD and NMF on image data

Classi ed and clustered hand images using SVM, Naive Baye s, K-Means, PPR and LSH with best accuracy of 90% Train an agent using Q-learning to sort books in a simulated layout (ROS, Gazebo) Jan - Apr 2019

Programmed Search and Planning algorithms.

Implemented Markov-Decision Process, Reward function and Q-learning for Turtlebot. PUBLICATION

Power Grid Contingency Analysis with Machine Learning: A Review and Prospects Sam Yang, Bjorn Vaagensmith, Deepika Patra - selected for oral presentation at ResWeek 2020. CERTIFICATIONS

Machine Learning by Andrew Ng, Coursera (ongoing)

Data Engineering with Python, DataCamp (ongoing)

Streamlined Data Ingestion with pandas (DataCamp certi cate url)

Object-oriented Programming in Python (DataCamp certi cate url)

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