Anish Yellakonda
City of Albany, New York, United States
Summary
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Top SchoolAnish Yellakonda is a Gen AI Data Scientist with eight years of experience building and productionizing ML and deep learning solutions across finance, healthcare, and retail. He’s delivered measurable impact—improving fraud detection precision, reducing deployment latency, and boosting campaign conversions—by pairing models (XGBoost, BERT, LSTM) with solid MLOps on AWS and Azure. At Wells Fargo and prior roles he analyzed millions of transactions, automated pipelines with Airflow/Azure Data Factory, and built GenAI explainers and GPT summarizers that cut stakeholder review time dramatically. Comfortable across the ML stack, his toolkit spans Python, SQL, TensorFlow/PyTorch, MLflow, Docker and LangChain for explainability. Based in Albany, NY, he combines research-level modeling with a pragmatic focus on deployability and auditability—often surfacing non-obvious behavioral patterns that drive business action. He’s currently applying that blend of technical depth and product sense as a Gen AI Data Scientist at EXL.
7 years of coding experience
2 years of employment as a software developer
Master's degree, Data Science, 3.45/4.0, Master's degree, Data Science, 3.45/4.0 at University at Albany
Github Skills (7)
image-processing9
segmentation9
computer-vision9
deep-learning8
onnx8
opencv8
pytorch8
Programming languages (3)
Github contributions (5)
anishreddy3/Crack-Semantic-Segmentation
May 2019 - Jul 2022
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
Contributions:27 commits, 1 PR, 25 pushes in 3 years 2 months
pytorchcrack-detectionsegmentationunet-pytorchdeep-learning
anishreddy3/Udacity-Data-Scientist-Nanodegree
Sep 2019 - Dec 2019
Contributions:61 commits, 57 pushes, 1 branch in 2 months
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