Raksha Rajashekar
****, ********* ******, ***. ***, Fairborn, OH- 45324 937-***-**** **********.*@******.***
OBJECTIVE
To secure an Internship in the field of Computer Science and Engineering.
EDUCATION
Master of Science in Computer Engineering DEC 2018
Wright State University, Dayton, Ohio
GPA: 3.4
Bachelor in Computer Science and Engineering JUN 2015
Visvesvaraya Technological University, Global Academy of Technology, Karnataka, India
GPA: 3.25
Related coursework:
Machine Learning
Embedded Systems
Soft Computing
Robotics
Advanced Robotics
Computer Architecture
Independent Study: Deep Learning/TDA
Pattern Recognition
Computer Vision
DBMS
TECHNICAL SKILLS
PROGRAMMING LANGUAGES:
Python
MATLAB
C
C++
R
MySQL
HTML5
PHP
JAVA
SOFTWARE TOOLS: MS VISUAL STUDIO, MATLAB, PYTHON, TESORFLOW, ORANGE, ARDUINO, RASPBERRY PI
ACADEMIC PROJECTS
SMART BOT: Spring 2015
Designed an intelligent Robot that has three degrees of freedom and performs a predefined, Pre-programmed sequential set of operations to serve the user the desired beverage.
The application provides the users with the options to select the desired beverage.
DGI Phantom Drone data audio analysis: Spring 2017
Processed the audio data from the drone using machine learning techniques to predict when the drone was carrying something or not.
The audio signals were also used to classify, if it was a DGI Phantom Drone or not.
Cardiotocography Project to predict Pathologic behavior in Fetal Heart Rate: Fall 2017
I used MATLAB and Python to implement the techniques for classification of cardiotocography dataset from the UCI Machine Learning Repository, to classify the data into Suspect, Pathologic and non-Pathologic.
Research: Spring 2018
I Used Shrunken Centroid method on metabolomics dataset to provide visual representation of ‘48hr’ data.
It helps in classifying and predicting abnormal kidney behavior in mice.
EXPERIENCE
TECHNICAL SOLUTIONS REPRESENTATIVE HEWLET PACKARD ENTERPRISE AUG 2015 – NOV 2015
Provide Technical Solutions for HP Products (Laptops). Manage and Provide apt solutions for customer queries.