Aadeesh Shringarpure
Data Scientist II at Yum! Brands
Data Scientist II at Yum! Brands
Yum! Brands
https://www.linkedin.com/company/yum-brands
Data Scientist II
Plano
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SpectralMD
https://www.linkedin.com/company/spectralmd
Computer Vision Scientist
Dallas
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Rochester Institute of Technology
https://www.linkedin.com/company/rochester-institute-of-technology
Graduate Research Assistant
Change Detection in Aerial Imagery using Deep Learning
Rochester, New York Area
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Rochester Institute of Technology
https://www.linkedin.com/company/rochester-institute-of-technology
Graduate Teaching Assistant
Rochester, New York Area
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St. Jude Medical
https://www.linkedin.com/company/st--jude-medical
Image Analyst Intern
Worked on the Lightlab Imaging OCT Software.
Implemented targeted changes to C++ application to implement algorithm experiments from MATLAB.
Inspected the OCT data to support algorithm experiments.
Support development of algorithms for stent strut detection and guidewire detection.
Westford, MA
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Electrical Engineering
Graduate
Rochester Institute of Technology
Electronics
Bachelor of Engineering (B.E.)
University of Mumbai
https://www.linkedin.com/school/university-of-mumbai/
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Advanced Engineering Mathematics
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Computer Vision
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Deep Learning
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Digital Image Processing
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Digital Signal Processing
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Engineering Analysis
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Image and Video Compression
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Machine Intelligence
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Random Signals And Noise
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Advanced VLSI Design
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Applied Chemistry
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Applied Math
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Applied Physics
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Communication Networks
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Computer Programming
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Continuous Time Signal and Systems
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Control Systems
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Digital Communication and Coding Techniques
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Digital Image Processing Design
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Digital Logic Design
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Discrete Time Signals and Systems
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Electrical Network Analysis and Synthesis
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Electronics Instrumentation Systems
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Embedded Systems and Real Time Programming
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Engineering Drawing
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Filter Design
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Linear Integrated Circuit Design
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Microprocessors and Microcontrollers
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Microwave Devices and Circuits
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Neural Networks And Fuzzy Systems
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Power Electronics
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Robotics and Automation
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Change Detection in Aerial Imagery Using Deep Learning
This project aims at creating a supervised model to detect changes in the aerial images. 
In the supervised model the network is trained with positive and negative images of vehicles.
Detecting changes indicates localizing changes in the position of vehicles in different time frames of the same scene.
Semantic Change Detection and Background Estimation in Video Sequences
Fully convolutional models are used to perform Semantic segmentation which helps in estimating background and foreground in video frames.
The main aim of this project is to detect changes in the video sequence and use these changes for the background frame retrieval using image stitching techniques.
Estimated Background frames were compared to other image frames in the video to detect changes.
Performance Evaluation of Different CNN Architectures for Object Detection
Compare pretrained CNN models for Object detection such as AlexNet, ResNet and VGGNet.
These will be compared on the basis of accuracy, precision, recall, computation time, confusion matrix etc.
The PASCAL VOC 2012 data-set will be used to train and test this model.
Facial Expression Recognition
Developed an algorithm in MATLAB which is used to recognize the person’s emotional state through facial expressions such as angry, happy, sad and surprised.
Used a Radial Basis Function Neural Network (RBFN) for classification and Discrete Wavelet Transform for feature extraction and compared it’s results to those of Histogram of Oriented Gradients (HOG) used for feature extraction followed by Support Vector Machines (SVM) used for classification.
Image Retrieval Using Texture and Color Histogram Features
In this project closest matches from a dataset based on the histogram intersection distance with respect to the color histogram of the query image were found out and displayed using MATLAB.
An image from each texture class was selected as a query image and based on the Chi Squared distance of the feature vectors sample images from the dataset having similar texture were found out.
Implementation of JPEG compression algorithms (MATLAB)
8x8 block of 2D DCT of an image was implemented to get the lossy JPEG compressed image in MATLAB.
Wavelet Transform using convolution and lifting methods was found out which can be used in the JPEG2000 algorithm.
Implementation of Huffman Code, Golomb Rice Code and Otsu’s technique
Implementation of compression algorithms like Huffman and Golomb Rice coding in
MATLAB. Otsu’s thresholding technique using Image Histogram was executed in MATLAB.
Implementation of Noise removal techniques
Studied and developed the K-NN filter, Sigma filter, Bilateral filter and Median filter in MATLAB for
removing different types of noise from the images.
Contrast Manipulation Algorithms
Implementation of various photoshop functions such as Histogram equalisation, Auto levels,
Clip limited Histogram equalisation and Moroney’s Technique in MATLAB.
Algorithms based on deblurring, edge detection, filtering of images
Various algorithms of image processing based on image deblurring, edge detection, image
filtering and image resizing were studied and executed in MATLAB.
Self Balancing Robot
Worked in a team of 3 for structuring the self balancing robot based on Unicycle Mechanism using AT89C51 micro-controller and IR sensors.
Designed a 3 layered model by calibrating the center of gravity using mechanical principles.
Successfully tested and demonstrated the working model in front of industrial professionals.
Automatic Room Light Control for a Warehouse
Low Cost Hearing Aid
This project was based on operational amplifiers which amplified the voice signals for the patients with a hearing disability. 
The main purpose of this project was to develop a cost efficient hearing aid which would be easily affordable for all. This was achieved by connecting two OP-AMP’s in series which would help in the amplification of the attenuated signal.
https://www.linkedin.com/in/saroshjamal4
Sarosh Jamal
ETL Tester at Yum! Brands
Plano, TX
https://www.linkedin.com/in/tommy-josey-8aa0116
Tommy Josey
Sr. Systems Engineer at Yum! Brands
Dallas, TX
https://www.linkedin.com/in/samarthskumar
Samarth Suresh Kumar
Senior Software Engineer at Yum! Brands
Dallas-Fort Worth Metroplex
https://www.linkedin.com/in/nupursidhaye
Nupur Sidhaye
Network Engineer at CyrusOne
Dallas-Fort Worth Metroplex
https://www.linkedin.com/in/ashton-mutuwa-0221981a8
Ashton Mutuwa
Cyber Analyst at Yum! Brands
Cedar Lake, IN
https://www.linkedin.com/in/rakesh-k-aa963419a
Rakesh K
Sr. Site Reliability Engineer II at Yum! Brands
United States
https://www.linkedin.com/in/nasir-chaudhry-527b24132
Nasir Chaudhry
Software Engineer in Test at Yum! Brands
Los Angeles Metropolitan Area
https://www.linkedin.com/in/sayan-banerjee-007
Sayan Banerjee
Senior Data Scientist | Machine Learning Researcher
Plano, TX
https://www.linkedin.com/in/guillermo-jacquez-11436260
Guillermo Jacquez
Senior Software Engineering Manager at Yum! Brands
Greater Chicago Area
https://www.linkedin.com/in/stevenschobert
Steven Schobert
Principal Software Engineer at Yum! Brands
Dallas-Fort Worth Metroplex
https://www.linkedin.com/in/jeremiah-sheehy-ba865a18b
Jeremiah Sheehy
Director, Software Engineering at Yum! Brands
Greater Chicago Area
https://www.linkedin.com/in/suparnaukey
Suparna Ukey
Manager, Design & Construction at Yum! Brands KFC Global
Dallas-Fort Worth Metroplex
https://www.linkedin.com/in/kirk-leopoldo
Kirk Leopoldo
Technical Recruiter at Yum! Brands
Chicago, IL
https://www.linkedin.com/in/roycevibbert
★ Royce Vibbert  • MBA  • PMI-ACP  •PMP  •CSM •CSPO
Senior Technical Product Owner at Yum! Brands
Greater Chicago Area
https://www.linkedin.com/in/saraghanadian
Sara Akbar Ghanadian
Ph.D| data scientist
United States
https://www.linkedin.com/in/suri-chen
Suri (Suyu) Chen
Senior Data Scientist at PepsiCo
New York, NY
https://www.linkedin.com/in/ray-bell
Ray Bell, Ph.D., PMP
Principal Data Scientist at DTN
Miami, FL
https://www.linkedin.com/in/lusilvia
Shanshan Lu
Senior Data Scientist at PepsiCo
Jersey City, NJ
https://www.linkedin.com/in/rshafipour
Rasoul Shafipour
Data & Applied Scientist - AI Algorithms & Cloud Acceleration at Microsoft
Greater Seattle Area
https://www.linkedin.com/in/renee-ernst
Renee Ernst
Data Scientist and Engineer who is passionate about owning projects from initial idea stage to production, and mentoring others through the process.
Maple Grove, MN
Come visit us at #ces2022Booth #15899 LVCC, Las Vegas
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Liked by Aadeesh Shringarpure
Time for a BIG update! I was able to replace my corporate income with real estate investing this year and have decided to leave my W2. I’m so…
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Spectral MD hosted a successful two-day kickoff event at its #Dallas headquarters to introduce the start of the Option 1A Training Study, a…
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Image Processing Interest Group
https://www.linkedin.com/groups/37629
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Deep Learning for Computer Vision
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