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528465j/README.md

Hi, I'm Jatin 👋

Data and Business Analytics professional in Sydney - translating complex data into clear decisions.

LinkedIn Email


What I focus on

  • Analytics that improve decisions in retail, healthcare, and consulting
  • Practical ML that is interpretable and deployable
  • BI assets stakeholders actually use

Tech Stack

Languages Python SQL R
ML PyTorch TensorFlow scikit-learn
Cloud Azure Snowflake AWS GCP
BI Power BI Tableau Excel
Data Postgres MySQL BigQuery
Ops GitHub Linux PowerShell

Featured data work

Generative Adversarial Networks - Image synthesis
PyTorch WGAN pipeline for high fidelity face generation. Stability and training efficiency improvements. ▶ Notebook: Image-Generation-with-WGAN-D1.ipynb
Melanoma detection - Clinical imaging
Deep learning classifier with domain augmentations and model interpretability. ▶ Notebook: Dermoscopic-Image-Classification-of-Melanoma.ipynb
Sparse Random Projection - High dimensional images
Dimensionality reduction workflow with OpenCV preprocessing. ▶ Notebook: Sparse-Random-Projection.ipynb
Cloud DMP evaluation - Snowflake vs Synapse vs Redshift
Platform benchmarking on real sales data for AI and analytics readiness. ▶ Report: Decision report
Power BI - Mental health disparity analytics
Social determinants and mental health indicators consolidated for policy insight. ▶ Deck: Project overview

Recent BI impact

  • Telstra store performance tracker - interactive Power BI and Excel reporting with live KPIs
  • SQL insights for ProApp - weekly metric automations and stakeholder reporting
  • Retail customer segmentation - clustering to inform targeted promotions

visit count

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