Engineer Contact Details
Resume:
CONTACT
STUDENT RESEARCHER UTA System Lab Aug ***8 – Jun 2020
(Thesis)- DAS Page Replacement Algorithm Jun 2019 – Jun 2020
• Published https://rc.library.uta.edu/uta-ir/handle/10106/29096
• Built new dynamic page replacement algorithms which increased hit ratio 58% with respect to LRU algorithm.
• Technology: Python, Memory, CPU, Operating system Blink based Security System Jan 2020 – Dec 2020
• Built unique method of authentication method using human eye blink patterns. Image processing with real time camera captured images.
• Technology: Python, Computer Vision, SVM, Image processing, EAR, OpenCV AppleS-Split I/O Kernel Aug 2018 – Dec 2018
• Developed a new scheduling algorithm for operating system. This algorithm helps to improve the performance of the system.
• Technology: C Language, distributed systems, IO scheduling, Read/Write. Industry Experience
SOFTWARE ENGINEER Mindtree Ltd Nov 2015 – July 2018 Worked on designing the real time disturbed systems for many applications and also worked as web development Engineer.
• Developed front end application for Lincoln financial group using Angular 4 and Bootstrap.
Machine Learning and Computer Vision Projects:
Lane Finding, Vehicle detection and Tracking:
Built an advanced lane finding algorithm with python and OpenCV using distortion correction, image rectification, colour transformation and gradient thresholding. Optimized the model to overcome some environmental changes. Optical Character Recognition:
Automatic License/Number Plate Recognition (ANPR) system. This Includes recognizing of number plates as well as handwritten numbers and characters. Used Tesseract 4.0, OpenCV and Python
Airbnb Price Prediction:
Predicted Airbnb pricing of vacant accommodation using multi variate Lasso Regression and obtained an accuracy rating of 87%. Performed data wrangling and balancing of the data. Handled sparse data information and many others. Programming and Scripting Language:
Python, C, C++, ASM, SQL, Scala, Embedded C
Libraries:
OpenCV, Tensorflow2, Scikit-Learn, NumPy,
Tesseract, Pandas, SciPy, CUDA, GPU, XLA
Application and Operating system:
Linux/Unix, Windows
Git, Anaconda, GCP, AWS(EC2), Kafka
Computer Vision, Artificial Intelligence,
Algorithms, Neural Networks, Distributed
systems, Computer Architecture, Storage and
File systems – UTA courses.
Certified in Python Data Structures - University of Michigan- Coursera.
Certified in Machine Learning with python – IBM-
Coursera.
Certified in Self driving car- University of Toronto- Coursera.
AWARDS and ACHIEVEMENTS
• Received an award with a $1000 “Dean
Scholarship” from university of Texas at
Arlington.
• Developed Games on XBOX Windows in
Microsoft Hackathon event
RAMYA DANAPPA
MACHINE LEARNING RESEARCHER
A machine learning and computer vision engineer passionate SUMMARY about cutting-edge technology and solving the real-world problem with previous academic research experience and course projects. CONTACT DETAILS:
************@*****.***
linkedin.com/in/ramyadanappa/
github.com/RamyaDanappa
WORK EXPERIENCE
EDUCATION
University of Texas, Arlington
Aug 2018 – June 2020
Master’s in Computer Science -Thesis
GPA: 3.63/4.00
PESIT, India Sept 2010 – July 2014
Bachelor’s in Information Science
TECHNICAL SKILLS
COURSES AND CERTIFICATIONS
MACHINE LEARNING INTERN Scriptchain Oct 2020-Current
• Deploy platform onto the cloud, adding new layers of features and integrating that with patient medical data by developing new deep learning models
• Collecting datasets, preprocessing, scraping, and building machine learning models.
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