Abhinay Krishna Vellala Data Science, Machine Learning, AI, CV, NLP, LLMs
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I'm a PhD student at Heidelberg University working on Vision Transformers and Multi Modal Large Language Models. I have over 5 years of professional experience in Data Science and Machine Learning. I have supported various organizations by recognizing the pattern in their data, providing data-driven solutions with a research-oriented atmosphere, and deploying several Machine Learning models. I have an expert level understanding of Statistics, Machine Learning, Deep Learning, Computer Vision, Time Series, and Natual Language Processing. I'm a pro python programmer as well as C++, R, and SQL. I have done my Masters in Statistics and Machine Learning at Linköping University, Sweden. The program is considered one of the top for Data Science Masters across Europe. I have worked with clients from around the world and have dealt with various kinds of data. I was a Training Specialist in Amazon for the Alexa Data Services team. I have organized training programs and have successfully deployed several training teams for their respective managers. I have in-depth knowledge in Statistics both Frequentist and Bayesian.

Subjects

  • Computer Vision Beginner-Expert

  • Statistics and Probability Beginner-Expert

  • Artificial Intelligence Deep Learning Beginner-Expert

  • Bayesian Statistics Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

Experience

  • PhD Student (Mar, 2024–Present) at Heidelberg University
  • Medical Data Scientist (Apr, 2023–Present) at Heidelberg University
  • Medical Data Scientist (Jun, 2022–Jan, 2023) at University Hospital Frankfurt
  • Software Developer - AI/ML (Dec, 2021–May, 2022) at Nexustec Gmbh
    Working on building a Nexsutec developed Industrial Automation and Machine Vision tool called TRIMITI.
    • Tracking the objects within the Video feed and estimating the trajectory after the objects are recognized using Kalman Filtering and C++.
    • Detecting objects from the live video feed assisted Industrial assembly cameras using YOLO, Inception
    frameworks and assisting the assembly process by providing check points.
    • Making GUI for the user interface using Python.
    • Providing solutions for unidentified objects by determining object similarity and implementing class agnostic
    object detection models.
  • Data Scientist (Nov, 2021–Jan, 2022) at Kintario
    Generating features from various data sources and performing statistical analysis to check the dependencies of the features on Real estate Agent’s sales record.
    • Predicted if the realestate agent sticks with the same Real estate agency or change based on the features extracted using Logistic regression, Support Vector Machines and Random Forest.
    • Understanding the skills and strengths of agents based on the pre-defined metrics and cluster them accordingly using Gaussian Mixture model and K-means clustering.
  • Data Scientist (Jul, 2021–Nov, 2021) at Envigo Marketing Pvt ltd
    Mined user reviews and clustered them based on the category of topic references(TopicModelling)using K-means, LDA.
    • Performed rating-based Sentiment Analysis on user reviews using BERT and Naive Bayes models.
    • Built NLP tools and software services that can replace the existing API using SpaCy and NLTK models and
    deployed into the servers using integrated RESTful API, Django and Flask.
    • Worked on search engine optimization project by monitoring and scraping HTML tags from the websites and
    built a pipeline to generate meta description and optimal keywords for each URL using BERT and Auto-Encoders.
  • Student Data Scientist (Dec, 2020–Jun, 2021) at Glance
    Analyzed user input text to set a prior model using Latent Dirichlet Allocation(LDA)
    • Identified objects and recognized human activities from videos using Tensorflow, Keras and OpenCV libraries.
    • Clustered the extracted features using Multinomial Mixture Model.
    • Designed pipeline for provisoining the clusters to process the Collaborative filtering-based Recommendation
    System.
  • Training Specialist (Mar, 2016–Jul, 2019) at Amazon Development Centre
    • 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

Education

  • PhD in Artificial Intelligence (Mar, 2024–now) from Heidelberg University, Baden-Württemberg, Germany
  • Statistics and Machine Learning (Aug, 2019–Jun, 2021) from Linköping University, Sweden

Fee details

    €10–20/hour (US$10.53–21.05/hour)

    I mostly prefer to give classes for 3 hours during the weekend and give an assignment based on the week's topic along with a project that can be finished in a week before the next class. If students need support during the project, I'll be available with emails or chat, if required even with a call as well. So, I prefer half of my hourly fee for the extra support I provide.

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