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AratrikaB-tech/README.md

Hi, I'm Aratrika!

I am a B.Tech student focused on the intersection of Artificial Intelligence, Data Analytics and Bioinformatics.

TECHNICAL TOOLKIT

  • Languages: Python (Pandas, Scikit-Learn, Matplotlib, Scanpy, AnnData, NumPy, Leidenalg, Igraph, SQLite3), R.
  • ML Focus: Classification, Predictive Modeling, Clinical Diagnostics
  • Tools: Git, Linux, Jupyter

FEATURED PROJECTS

  • Breast Cancer Diagnostic AI model : An end-to-end pipeline achieving 99% recall for malignant tumor detection.

  • Neuro-SingleCell-Trajectory : Single-cell RNA-seq trajectory analysis of the developing human brain (GSE132730) using Scanpy.

  • E-Commerce RFM Analytics Pipeline : End-to-end pipeline (Pandas, SQLite, K-Means) segmenting customers by purchase behavior, deployed as a live interactive Streamlit app.

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  1. Breast-Cancer-AI-Diagnostic Breast-Cancer-AI-Diagnostic Public

    An end-to-end Random Forest Machine Learning pipeline for clinical breast cancer classification (99% Recall)

    Python 2

  2. Neuro-SingleCell-Trajectory Neuro-SingleCell-Trajectory Public

    Single-cell RNA-seq trajectory analysis of the developing human brain (GSE132730) using Scanpy

    Jupyter Notebook 1

  3. ecommerce-rfm-analytics-proj-1 ecommerce-rfm-analytics-proj-1 Public

    An end-to-end data analytics and machine learning pipeline that transforms raw, messy retail transaction data into actionable customer segments — combining SQL-based data engineering, unsupervised …

    Jupyter Notebook 1

  4. Pan-Cancer-Proteomics Pan-Cancer-Proteomics Public

    An end-to-end computational biology workflow for differential expression analysis, multi-class machine learning classification, and functional pathway profiling across **BRCA** (Breast), **LUAD** (…

    R 1