Krishna Dubey Email & Phone Number

Lucknow, UP, IN

• Published over 35 comprehensive Python notebooks out of 80+ developed, earning 25+ medals including 5 silvers.
• Shared high-quality notebooks that cover topics such as supervised learning, data wrangling, EDA (Exploratory Data Analysis), and deep learning.
• Experienced in creating Kaggle competitions notebooks that serve as valuable resources for the data science community, focusing on effective use of libraries like Pandas, Scikit-Learn, TensorFlow, and Matplotlib.
• Leveraged expertise in data preprocessing, feature engineering, and model evaluation metrics to enhance the practical value and accuracy of shared notebooks.

• As a Competitions Contributor on Kaggle, I have actively participated in various data science and machine learning competitions, consistently applying advanced analytical techniques to achieve competitive results. My.
• Top 10% in Multiple Competitions: Successfully secured top rankings in several Kaggle competitions, including the Binary Classification of Insurance Cross Selling and Multi-Class Prediction of Obesity Risk.
• Advanced Model Development: Built and optimized models using a wide range of algorithms including XGBoost, LightGBM, CatBoost, and Artificial Neural Networks (ANN), leading to a 15% improvement in model accuracy on.
• Hyperparameter Tuning & Optimization: Utilized techniques such as GridSearchCV, Optuna, and Bayesian Optimization to fine-tune models, enhancing performance metrics like ROC-AUC and log loss.
• Ensemble Learning Techniques: Implemented ensembling strategies such as stacking, blending, and bagging to improve prediction accuracy and robustness of models.
• Deep Learning Expertise: Applied deep learning methods to real-world problems, particularly in competitions focused on NLP and computer vision, achieving significant performance gains.Most Recent: LMSYS - Chatbot Arena.

• As a Datasets Expert on Kaggle, I’ve been dedicated to curating and publishing high-quality datasets that cater to the needs of the data science community. My role involves not only compiling datasets but also ensuring.
• Published 10+ High-Impact Datasets: Curated and cleaned datasets across various domains, ensuring they are optimized for use in machine learning models and analytical projects.
• Utilized tools like Python (Pandas, NumPy) and SQL to perform data wrangling, resulting in datasets that are easy to understand and use.
• Also managed some large datasets, implementing strategies to optimize storage and access, which improved data retrieval times by 30%.
• Enhanced Searchability: Implemented metadata and tagging strategies that improved the discoverability of datasets, leading to a 20% increase in downloads.Skills Utilized:
• Data Visualization: Created visual summaries and insights for datasets to assist users in understanding the data quickly.

• Have been fostering interactive discussions within the Kaggle community.
• 250+ posts and 200+ medals ( 22 gold, 30 silver and 175+ bronze)
• Highest rank - 152

Bachelor Of Technology - Btech

Iit-Jee

Intermediate

High School