Navya Tippananapalya Ramesh

adjkt2@r.postjobfree.com +1-517-***-**** www.linkedin.com/in/navya-ramesh13

Address: East Lansing

EDUCATION

Michigan State University GPA-3.75

Master of Science in Electrical and Computer Engineering 8/2019- 5/2021 Course work: Machine Learning, Deep Learning, Pattern Recognition and Analysis, Natural Language Processing

PES University GPA-3.6

Bachelor’s in engineering in Electronics and Communication Engineering 8/2013-7/2017 Course work: Robotics, Communication, Image Processing, Artificial Neural networks SKILLS

Programming Languages C, Python, SAP-ABAP, MATLAB, SQL Platform Keras, TensorFlow, Pytorch

Area of Interest Machine Learning, Image Processing, Computer Vision, Artificial Intelligence, NLP APPRECIATION/AWARDS

• Awarded with First place at Electronic Design challenge, a 24-hours Hackathon

• Awarded the innovative idea at 24-hour Hackathon for Agricultural Autonomous color sensing Robot WORK EXPERIENCE

Graduate Teaching Assistant 7/2020-12/2020

Michigan State University, ECE-415 Computer Aided Manufacturing

• Demonstrating Lab sessions for the students enrolled to work on the NX12, NC viewer to designing the 3D models, G-codes, PLCs

Graduate Research Assistant 04/2020-07/2020

Michigan State University, Woldring Lab

• Worked on Machine learning aspects of Protein Engineering in designing the naïve protein sequence library of good binding affinity

• Designed model for generating druggable molecules using sequence approach for proteins using natural language processing

• Rigidity Strengthening of protein-ligand docking using machine learning algorithms

• Obtaining molecular descriptors for chemical structures to design new protein structures using encoder-decoder in Machine Learning

Database Programming Graduate Assistant

Michigan State University, Office of International Students and Scholars 01/2020-04/2020

• Was responsible for creating reports for the F1 and J1 International student profiles

• Designing scripts, E-forms that would fetch data for reports, analyzing the data

Software Developer 10/2017-07/2019

Larsen & Toubro Infotech, Bengaluru, Karnataka, India

• Conducted specialized application development and assessed risks involved in SAP-ABAP software. Job roles included –

• Building Code Review tool for FIORI based project with accuracy of 90%

• Data analysis of ERP system in material management domain

• Enhancements in the framework to increase efficiency and support new requirements of client PROJECTS

1. Designing protein library for generating new binders with high affinity using Machine and Deep Learning

• Designing a library of proteins with stronger binding affinity using fitness score.

• Protein sequences were subjected to deep learning and Machine learning algorithms like K-nearest neighbor algorithms, Random Forest, SVM.

2. Machine Learning Techniques for Distracted Driver Detection:

• Various models were trained for the Kaggle State Farm Dataset to detect the distracted driver using image processing and Machine Learning techniques.

• The accuracy of models like CNN, VGG16, Random Forest, SVM, Decision Tree were compared.

• Pretrained model VGG16 gave the best results among the classifiers tested with 92% accuracy. 3. Human activity recognition using SLIM LSTMS:

• The activities recorded using the smartphone’s accelerometer and gyroscope in the dataset UCIHAR.

• Datapoints were segregated and recognized using neural network model as different classes of activities implemented using SLIM LSTMS and accuracy of 93% was attained.

4. 3D Map Generation using Stereoscopic and Photogrammetric techniques:

• Scope was to generate 3D structure of depth perspective of stereo images of the same point of view.

• Images were subjected to black matching, image pyramiding to get depth and to get 3D point cloud.

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