Abhinay Krishna Vellala

Medical Data Scientist at Heidelberg University
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Contact Information
us****@****om
(386) 825-5501
Location
Mannheim, Baden-Württemberg, Germany, DE

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Experience

    • Germany
    • Higher Education
    • 700 & Above Employee
    • Medical Data Scientist
      • Mar 2023 - Present

      In association with Universitätsmedizin Mannheim. In association with Universitätsmedizin Mannheim.

    • Germany
    • Hospitals and Health Care
    • 500 - 600 Employee
    • Medical Data Scientist
      • Jul 2022 - Jan 2023

      Projects: Health Care AI, Computer Vision, Image Segmentation Area: Federated Machine Learning, Deep Learning, Statistics • Part of Germany's biggest Federated Learning project for the Network of Radiologists called RACOON. • Search and analyze various forms of patient data to understand the pattern and improve the quality of treatments. • Working on understanding the Survival of Patients affected by Pancreas cancer using data extracted from CT Scans and consultations by each patient. • Performing image segmentation using U-net architecture. • Working on improving the quality of segmentation done by doctors by organizing surveys and performing statistics to understand the areas where doctors are doing better and improving the rest. • Working on developing infrastructure of RACOON Network by partnering with the other Nodes. • Working closely with Mint medical, Satori for providing assistance to the doctors to segment the data. • Publishing a paper at the end of the work and dockerizing the work for reproducing the results at different nodes. Show less

    • Germany
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Dec 2021 - Apr 2022

      Projects: Industrial Automation, Computer Vision, Object Detection, Object Segmentation, Object Recognition Area: Machine Learning, Deep Learning, Statistics, Full Stack Software Development • Worked on building a Nexsutec developed Industrial Automation tool called TRIMITI. • Tracked the objects within the Video feed and estimated the trajectory after the objects are recognized using Kalman Filtering and C++. • Detected objects from the live video feed assisted Industrial assembly cameras using YOLO, and Inception frameworks and assisted the assembly process by providing checkpoints. • Made GUI for the user interface using Python Kviy. • Provided solutions for unidentified objects by determining object similarity and implementing class agnostic object detection models. Show less

    • United Kingdom
    • Staffing and Recruiting
    • 1 - 100 Employee
    • Datat Scientist
      • Nov 2021 - Jan 2022

      Data science Project member at Kintario as part of the Turing Talent program. Data science Project member at Kintario as part of the Turing Talent program.

    • United Kingdom
    • Advertising Services
    • 1 - 100 Employee
    • Data Science Consultant
      • Jul 2021 - Nov 2021

      Projects: Marketing Intelligence, Search Engine Optimization, Topic Modelling, Audit Automation and Sentiment Analysis Area: NLP, Machine Learning, Deep Learning, Statistics Model: Text Mining, Clustering, Classification, Auto-Encoders Approach and Work: • Mining user reviews and clustering them based on the category of topic references using K-means, LDA and GMM. • Extracting keywords of all the topic references to determine the most reviewed information about each topic. • Performing rating-based Sentiment Analysis on user reviews to determine the customer response using BERT, Naive Bayes and Logistic Regression. • Built language detection tool that can replace the existing API using SpaCy and NLTK models. • Working on search engine optimization project to generate meta description on each website based on the analysis of website description and volume of keywords that drive the appearance using Auto-Encoders. Show less

    • India
    • Software Development
    • 500 - 600 Employee
    • Student Machine Learning Engineer (Master Thesis Project)
      • Jan 2021 - Jun 2021

      Publication: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176942 Project: Genre-based Video Clustering by extracting its features using Object Detection, Action Recognition and Video to vector embedding. Area: Computer Vision, Deep Learning, NLP, Clustering, Statistics Model: Object detection, Actionrecognition, Collaborative filtering, Content-based filtering, Image classification, TextMining Approach and Work: • Analyzed user input text to set a prior model using Latent Dirichlet Allocation(LDA) • Identified objects from the Sequence of Images(Videos) using Image segmentation and Object localization to detect bounding boxes and objects per each frame using YOLO architecture. • Implemented Human Activity recognition framework to extract actions performed in videos using Inflated 3D-CNN(i3D) architecture. • Clustered the extracted features using the Multinomial Mixture Model. • Checked the quality of clusters using Information Theory. • Built a pipeline to enable clusters to process the Collaborative filtering-based Recommendation System. Result: Clustered videos are fed into Recommendation system for personalization. Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Training Specialist [A]
      • May 2018 - Jun 2019

      Roles:• Managed teams of about 20-30 New Hires and trained them on specific skills required to solve problems of Alexa and Kindle Devices.• Created and implemented new training initiatives such as online modules, interactive software, language labs and online programs, assuring continuous training to employees to promote long-term excellence on Alexa Data Services and Devices• Organized and implemented coursework, oversaw scheduling and monitored performance through learning management system• Supported R&D teams in launch of New Devices across Geos• Identified anticipated bugs in new launch devices and trained multiple teams on troubleshooting those bugs before devices’ launch Show less

    • Sr. Techincal Associate
      • Mar 2016 - May 2018

      Roles:• Troubleshooting critical errors on Alexa devices like Echo Echo Dot, Echo Show, Echo Look and Amazon Tap and Kindles.• Creating tickets and resolving the cases of tickets severity.• Resolving software issues related to device specific platform.• Adoption and cross-linking of Alexa app and cloud software to Devices.• Performing App exclusive troubleshoot for Amazon Underground App and Shopping app. • Expertise in resolving issues regarding Alexa Communications.• Debugging software errors on Kindle platform.• Hardware troubleshooting. Show less

Education

  • Linköping University
    Master of Science - MS, Statistics and Machine Learning
    2019 - 2021
  • Sri Chandrasekharendra Saraswathi Vishwa Mahavidyalaya, Kancheepuram
    Bachelor of Engineering - BE, Electronics and Communications Engineering
    2010 - 2014

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