Pranav Shivaram

Developing and implementing a tool for prediction, classification and validation of complex measurement data of aircraft engine tests using machine learning algorithms. Title: Implementation and development of machine learning modules for automated engine test bench data analysis. Keywords: Classification; Machine Learning; Deep Learning; Data Analysis; Simulation; Optimization.

Internship: Developing Machine Learning Showcases at IBM • As a part of the team we are responsible for the in-database analytics component that leverages open-source technologies like Apache Spark and analytics languages like Python. • My responsibilities included working with DB2 warehouse and the analytics functions of IBM Integrated Analytics System (IIAS) solve machine learning problems. • Other tasks involved migration and optimization of Complex Clustering Algorithms from Scala to Pyspark.

• I was involved in automation projects and have used regression models such as Random Forest Regression to predict pricing of products. • I was responsible for handling SQL priority queries to find the root causes of errors and rectify them. • Extensive work experience in identifying Test scenario and writing and executing Test cases • Acted as liaison between client and technical solutions/support groups,using formal communication skills to elicit, document, analyze and validate client requirements.

Current GPA(2.0)• Computer Vision • TV and Video Signal Processing • Next Generation Internet • Multisensorial Systems • Advanced Communications Engineering

• C/C++ Programming • Communication Networks • Analog and Digital Communication