Projects
Explore a curated collection of my machine learning, data science, and software projects, each tackling real-world challenges with practical, interpretable solutions in predictive analytics, explainability, and data-driven applications.
Explainability Driven Chain-of-Thought Prompting
Automated reasoning for CoT prompting using explainability attributes from tree-based models for binary classification on tabular datasets.
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Daily Sales Forecasting
Forecasting daily total sales of different gifting items using holiday data, promotional sales data , and other time-series features.
Daily Electricity Usage Forecasting
Forecasting daily electricity consumption with Portuguese weather data on precipitation and temperature.
On-time Performance Analysis of NYC domestic flights
On-time performance analysis of domestic flights from NYC airports for the year 2023.
Arrival Delay Prediction for US domestic flights
Multiclass classification of arrival delays for NYC domestic flights using tree-based models.
Illumination Invariant Tiger Detection
Automating detecting tigers in the wild by handling illumination issues with the help of EnlightenGAN.
Imbalanced Malware Byteplot Image Classification
Assessing the impact of class imbalance on model performance and convergence for malware byteplot image classification.
Imbalanced Multilabel Retinal Eye Disease classification
Retina disease detection using ensemble learning to mimic getting multiple doctor opinions (second opinions) before choosing a treatment.