Portfolio
A collection of my data science and machine learning projects — blending statistics, code, and creativity to build meaningful solutions.
- All
- LLMs
- Machine Learning
- Computer Vision
- NLP
- R / Statistics
- Neural Networks
Aspect Sentiment BI
Reddit sentiment pipeline with NLP, ML models, Airflow, and BI dashboards.
Smart Invoice Extractor
OCR + NLP pipeline with FastAPI, Streamlit, and Docker for invoice parsing.
smartcurvefit
R package for robust nonlinear curve fitting using Rcpp.
US Crime GAM
Violent crime analysis using Generalized Additive Models.
Heart Attack Prediction
Scalable classification pipeline with PySpark and Hadoop.
Cricket Analytics App
Interactive R Shiny app for cricket performance visualization.
Neural Networks Applied
Deep learning experiments on structured and image datasets.
Spirals (Parkinson Dataset)
Clustering spiral dataset in R to distinguish Parkinson vs healthy patients (KMeans & Hierarchical clustering).
Music Genre Classification
Kaggle project predicting genres from audio features.
Image Classification
Deep learning CNNs for image classification tasks.