data modelling,data hamdling, matlab,python

***, ****** *** *, *** L***

Seattle, WA - ***** SHALAKA S. WARDHA

619-***-****

**************@*****.***

GitHub: shalaka7

EDUCATION

Seattle, WA, USA Udacity Nanodegree Program Spring 2018 Self-Driving Car Engineer Nanodegree Program

• Coursework: Hough Transform, Deep Neural Network, Convolutional Neural Network, LeNet, Sobel Filter, Kalman filter, Support Vector Machine, Decision tree, Particle filter, Motion Models.

• Technologies: TensorFlow, OpenCV, Keras, Python, C++ Pune, India University of Pune Fall 2015 – Spring2017 M.Tech. in Instrumentation and Process control

• Coursework: Discrete Time Signal Processing, Estimation Techniques, Advance Control Theory, Process Control, Flight Instrumentation, Probability and Linear Algebra

• Technologies: MATLAB, Raspberry PI, Python

Pune, India University of Pune Fall 2011 – Spring2014 B.E. in Electronics and Telecommunications

• Coursework: Digital Image processing, VLSI Design and technology, Mobile Communication, Computer Network, Advance Satellite System and application, Network Synthesis

• Technologies: C++, Assembly Language

Solapur, India Maharashtra State board of Technical Education, India Fall 2008 - Summer 2011 Diploma in Electronics and Telecommunications

• Coursework: Control system, Advance Communication System,Audio and Video Engineering,Principle of Computer Architecture

• Technologies: C, Assembly Language

TECHNICAL EXPERIENCE

Projects

• Use of Deep Learning to clone Driving Behavior (2018). Built and trained a convolutional neural network for end to end driving in simulator using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.

• Advanced Lane Finding(2018).Built an advanced lane finding algorithm using distortion correction, image rectification, color transform and gradient thresholding. Identified lane curvature and vehicle displacement. Program was able to overcome environmental challenge such as shadow and pavement changes.

• Vehicle Detection and Tracking (2018). Created a vehicle tracking pipeline with OpenCV, histogram of oriented gradients (HOG) and support vector machines(SVM). Optimized and evaluated the model on video data from automotive camera taken during highway driving.

• Vehicle Speed Estimation and Tracking from Video Stream (2017). Designed and implemented velocity prediction engine across frames in video in MATLAB. PUBLICATIONS

• Development of Automated Technology for Vehicle Speed Estimation and Tracking in Video Stream IEEE XPLORE ISBN : 978-1-5090-3704-9

Languages and Technologies

• C++ ; C ; Python ; MATLAB ; Assembly Language

• TensorFlow ; Anaconda ; Jupyter Notebook ; Pycharm ; Raspberry PI;

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