Research Portfolio
Comprehensive overview of research publications, open-source packages, and ongoing projects in machine learning, survival analysis, and statistical computing.
Published Research Papers
Shape Penalized Decision Forests for Imbalanced Data Classification
IEEE
Classification trees often yield fragmented minority boundaries under imbalanced data. The authors propose a surface-to-volume ratio (SVR) regularization that penalizes decision-set complexity, optimized via a greedy breadth-first splitting algorithm analogous to CART.
View PaperPapers Under Review & Accepted
MART: Moving Average Randomized Tree
Springer Machine Learning
A randomized CAGR-based split method for predicting future trends in the stock market.
To be Published, Preprint not available
Survival: A Different Approach
Developed and implemented novel data-dependent techniques to aggregate survival trees, enhancing the accuracy of survival estimates for patients.
Concordance-based Survival Cobra with Regression Type Weak Learners
A novel survival analysis method, utilizing concordance-based techniques in combination with regression type weak learners.
View PreprintIntegrated Brier Score based Survival Cobra - A Regression Based Approach
An innovative survival analysis method using an integrated Brier score-based approach combined with regression techniques.
View PreprintOpen Source Packages
Shape Penalized Decision Forests
imbalanced-spdf
Shape Penalized Decision Forests, for training ensemble classifiers tailored for imbalanced datasets. Provides SPBaDF and SPBoDF implementations with Surface-to-Volume Regularization (SVR).
Combined Regression Strategy Survival
cobsurv
Part of the PBSA (Proximity-Based Survival Analysis) research project. Contains combined regression strategy-based models for survival analysis with production-ready implementations.
Ready Tensor ML Projects
Machine Learning models developed during my tenure as ML Engineer at Ready Tensor, focusing on production-ready, dockerized ML implementations.
TSMixer Time Series Forecasting
rt_forecasting_TSMixer
Advanced time-series forecasting models using the TSMixer architecture
View RepositoryPatchMixer Forecasting
rt_forecasting_PatchMixer
PatchMixer model implementation for time series forecasting
View RepositoryCatBoost Multiclass Classifier
rt_mc_class_catboost
CatBoost model implementation for multiclass classification
View RepositoryAdaBoost Binary Classifier
rt_adaboost_binary_classifier
AdaBoost algorithm implementation for binary classification
View RepositoryXGBoost Binary Classifier
rt_xgboost_binary_classifier
XGBoost model implementation for binary classification
View RepositoryResearch Collaboration & Academic Partnership
Open to research collaborations, academic partnerships, and discussions on machine learning, survival analysis, and statistical computing innovations.
Senior Research Fellow @ IIT Guwahati | Sorbonne Abu Dhabi SAFIR Affiliate | MIT Student