Shankar Pandala
Senior Algorithm Developer at pandala.in
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolShankar Pandala is a Senior Algorithm Developer with over a decade of experience building and operationalizing machine learning solutions, currently applying Generative AI at Applied Materials to drive industrial innovation. He is the author of lazypredict, an open-source library with 1M+ downloads that accelerates model selection by automating baseline experiments across classification and regression. Experienced across the ML lifecycle, he specializes in Large Language Models, data ingestion, and deploying models on Azure Machine Learning for manufacturing-grade production. His background spans consulting and analytics roles where he solved high-dimensional yield and demand-forecasting problems, and he mentors practitioners through content and teaching initiatives. Notably, he pairs hands-on engineering with product-minded thinking—contributing code, docs, and examples to widely used open-source tooling while pursuing advanced studies in AI and cloud computing.
10 years of coding experience
10 years of employment as a software developer
Nanodegree, Machine Learning Engineer with Microsoft Azure, Nanodegree, Machine Learning Engineer with Microsoft Azure at UdacityB.Tech, computer science, B.Tech, computer science at Jawaharlal Nehru Technological University, KakinadaDoctor of Business Administration, Artificial Intelligence, Doctor of Business Administration, Artificial Intelligence at Swiss School of Business and ManagementPGDM, Financial Markets, PGDM, Financial Markets at ITM Group of InstitutionsPGP, Cloud Computing, PGP, Cloud Computing at Great Lakes Institute of Management
Telugu, Hindi, English
Stackoverflow
989reputation
54kreached
3answers
20questions
Github Skills (20)
python10
classification10
scikit10
machine-learning10
regression10
automl10
scikit-learn10
documentation9
pandas8
testing7
checksum6
cx-oracle6
data-manipulation6
curve-fitting6
azure-stream-analytics6
Programming languages (6)
Github contributions (5)
shankarpandala/lazypredict
Nov 2019 - Sep 2022
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:22 releases, 1 review, 129 commits in 2 years 10 months
Contributions summary:Shankar primarily contributed to the development and enhancement of the `lazypredict` library, focusing on the implementation of machine learning models. They updated the core `Supervised.py` file, which likely involved adding or modifying classification algorithms and improving model performance. The user also added the regression module. The changes involved documentation updates and examples for usage. Additionally, they updated versioning and added documentation examples.
regressionparameter-tuningdeep-learninglotmachine-learning
shankarpandala/lazygitgpt
Nov 2023 - Oct 2024
Contributions:16 releases, 16 PRs, 38 pushes in 11 months
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