Krish C Naik
Data Scientist
Bengaluru, Karnataka, India
Summary
🤩
RockstarKrish Naik is a founder and CEO and a seasoned data scientist based in Bengaluru with 9+ years of experience building and leading enterprise AI projects. He co-founded iNeuron.ai, launched KRISHAI Technologies, and grows a 1M+ subscriber YouTube channel that blends hands-on tutorials with product-driven ML education. As a technical lead at Honeywell, Panasonic and EY he has delivered end-to-end ML systems, mentored teams, and even secured a book contract on Python for finance. His GitHub activity shows practical depth in model-building, NLP (Word2Vec), feature engineering and production deployment—Flask APIs, Streamlit interfaces and Dockerized services. He regularly publishes interview-prep notebooks and training materials, reflecting a rare combination of applied ML, teaching, and product execution.
7 years of coding experience
Github Skills (65)
webapplications10
web-application10
python10
feature-engineering10
regression10
categorical10
encoding10
web-app10
streamlit10
web-development10
flask10
web-applications10
seaborn10
word2vec10
encodings10
Programming languages (4)
Github contributions (5)
krishnaik06/Machine-Learning-Algorithms-Materials
Feb 2022 - Jul 2022
Role in this project:
Data Scientist
Data ScientistContributions:17 commits, 17 pushes, 1 branch in 5 months
Contributions summary:Krish's commits primarily involve implementing and exploring various machine learning algorithms. The code modifications include the implementation of Linear Regression, Ridge, Lasso, Logistic Regression, Decision Tree, and Decision Tree Pruning, demonstrating a focus on model building and practical application. The commits showcase the use of scikit-learn and pandas for model development and data manipulation, indicating expertise in model implementation. The user leverages the Boston house prices dataset and the Iris dataset, indicating a focus on regression and classification problems.
krishnaik06/Natural-Language-Processing
Jan 2019 - Nov 2019
Role in this project:Data Scientist
Data ScientistContributions:6 commits, 5 pushes, 1 branch in 10 months
Contributions summary:Krish implemented several Python scripts for natural language processing tasks within the repository. These tasks include stemming, tokenization, lemmatization, and the creation of Bag-of-Words and TF-IDF models. Additionally, the user built and trained a Word2Vec model, demonstrating expertise in word embedding techniques. The contributions indicate a focus on text preprocessing and feature engineering for NLP applications.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.