Rahul Goswami
PhD Scholar in Mathematics & Statistical Machine Learning
Bridging theoretical mathematics with practical AI solutions. Specializing in survival analysis, decision forests, and advanced statistical algorithms.
Key Achievements
GATE Rank 63
All India Rank in Statistics
IIT-JAM Rank 306
Mathematical Sciences
IEEE Publication
Shape Penalized Decision Forests
MIT Finance
MicroMaster Program
Areas of Expertise
Research focus and technical specializations
Machine Learning & AI
Statistical Analysis
Survival Analysis
Time Series Forecasting
Mathematical Modeling
Data Science
Education & Qualifications
PhD in Mathematics
Indian Institute of Technology, Guwahati • 2021 - Present
GPA: 8.76/10 • Senior Research Fellow
Coursework: Probability Theory, Real Analysis, Linear Algebra, Advanced ML, Statistical Algorithms
M.Sc. Statistics and Computing
Banaras Hindu University • 2018 - 2020
GPA: 8.4/10 • 84 Credits
Specialized in Bayesian statistics, computational statistics, regression, and survival analysis
B.Sc. Statistics and Computer Science
Deen Dayal Upadhyaya Gorakhpur University • 2015 - 2018
First Division Honors • Mathematics (2 years)
Research & Publications
Published Research
Shape Penalized Decision Forests for Imbalanced Data Classification
Novel SVR regularization technique for handling imbalanced datasets, improving true positive rate and F-measure over traditional methods.
View Publication →Open Source Packages
imbalanced-spdf
Shape Penalized Decision Forests for imbalanced datasets
cobsurv
Combined regression strategy for survival analysis
fastkme
Faster Kaplan-Meier Estimator implementation
Let's Collaborate
Looking for expertise in statistical machine learning, survival analysis, or AI research? Let's discuss how we can work together.