Saimadhu Polamuri
Founder at Udacity
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSaimadhu Polamuri is a founder and seasoned data scientist with 11+ years building production ML, GenAI and LLM solutions across finance, energy and cybersecurity. He combines hands-on model development (Python, PyTorch/TensorFlow, Hugging Face) and AWS deployment experience (SageMaker, Glue, Athena) with product-minded leadership—mentoring teams and guiding projects from ideation to scalable production. Notable work includes LLM-powered threat actor classification, HTTP anomaly detection, and credit/driver risk models that directly improved operational decision-making. He also founded DataAspirant.com to democratize AI through free, SEO-optimized tutorials and maintains a GitHub repo of practical ML model codes covering imbalance handling, fraud detection and XGBoost implementations. Comfortable both as a freelance consultant and enterprise lead, he frequently interviews and mentors ML talent, reflecting a strong commitment to community growth and hiring rigor. Based in Bengaluru, he pairs academic grounding in AI/ML from UT Austin with a pragmatic, self-taught drive to simplify complex AI into usable business impact.
11 years of coding experience
10 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, NUZVIDPost Graduate, Artificial Intelligence and Machine Learning, Post Graduate, Artificial Intelligence and Machine Learning at The University of Texas at Austin
English, Telugu, Malayalam, Hindi
Stackoverflow
4,519reputation
2.8mreached
19answers
8questions
mongodb
top-1%
database
top-1%
python
top-5%
Github Skills (30)
xgboost10
preprocessing10
python10
preprocess10
data-science10
scikit10
pandas10
machine-learning10
text-processing10
scikit-learn10
mongodb10
database10
data-visualizations9
gradient-boosting9
data-visualisation9
Programming languages (1)
Github contributions (5)
saimadhu-polamuri/DataAspirant_codes
Apr 2015 - Jan 2021
Complete machine learning model codes
Role in this project:
Data Scientist
Data ScientistContributions:37 commits, 41 PRs, 37 pushes in 5 years 9 months
Contributions summary:Saimadhu primarily uploaded files related to handling imbalance data, text preprocessing techniques, and credit card fraud detection using machine learning models. Their contributions include implementing decision tree and random forest classifiers for credit card fraud, building models for sentiment analysis with emoticons and Unicode, and creating code for identifying fraud and calculating R-squared/adjusted R-squared values. The user also implemented XGBoost for an Iris classification problem and performed Gradient Boosting for regression and classification problems.
pythondata-sciencedeep-learningmachine-learningattribution
saimadhu-polamuri/learn_data_structures_python
May 2020 - Jan 2023
Contributions:3 pushes, 1 branch in 2 years 8 months
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