Suhas Maddali is a Senior Data Scientist based in San Francisco with six years of experience building ML solutions across industries including retail, manufacturing, automotive, agriculture, and pharmaceuticals. Currently at NVIDIA, he has progressed from intern to senior roles while delivering production ML models and exploring generative AI and LLM-driven assistants to automate domain workflows. He combines strong supervised and unsupervised modeling expertise (XGBoost, GBDT, neural nets, SVMs, PCA, anomaly detection) with academic experience teaching ML and NLP at Northeastern. An active author and maintainer of a documented GitHub portfolio and Towards Data Science contributor, he emphasizes reproducible project write-ups that bridge research and business value. A quirky but useful edge: he’s an elite typist (115 WPM average, 156 WPM peak), which helps him iterate quickly on experiments and demos.
6 years of coding experience
5 years of employment as a software developer
Masters Computer Software Engineering, Masters Computer Software Engineering at Arizona State University
Master's degree Data Science, Master's degree Data Science at Northeastern University
Electronics and communication engineering, Electronics and communication engineering at VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)
Predicting whether someone would pay back their home loan would be really useful especially for banks if they are trying to give loan to a person respectively. Using machine learning and deep learning, we are going to be using the features that are present in our data and we are going to understand the predictions given by the machine learning models respectively.
Contributions:212 commits, 4 PRs, 272 pushes in 1 year 5 months
Contributions:88 commits, 88 pushes, 2 branches in 3 years 3 months
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