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Abhi-37/README.md

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I'm Abhishek (@Abhi-37)

About Me

Transforming chaos into clarity, I excel in business analysis, data transformation, and stunning visualizations. A project management whiz, I turn complex needs into actionable tasks. Always learning and innovating.

Interests 💖
  • Business Analysis & Process Optimization: Turning chaos into streamlined workflows, one process at a time.
  • Data Transformation: Converting data from drab to fab, transforming bits into insights.
  • Data Visualization: Making data look as cool as it is useful with stunning visuals.
  • Data Analysis: Digging deep into data to unearth those hidden nuggets of wisdom.
  • Data Strategy & Roadmap: Plotting the course for data success, one strategy at a time.
  • Reporting & Dashboard: Creating dashboards so insightful, you’ll wonder how you ever lived without them.
Collaboration🤝
  • Business process re-engineering and optimization: Ready to re-engineer your business processes like a tech-savvy MacGyver.
  • ERP system implementation and customization: Bringing ERP dreams to life, one customization at a time.
  • Data analytics and visualization projects: Turning data into dazzling visuals and actionable insights.
Fun Facts 😍
  • ⚡ Exploring new cuisines, hiking, or tinkering with the latest tech gadgets: Foodie, hiker, and gadget geek rolled into one.
  • 🎧 Love listening to music and discovering new genres: My playlists are as diverse as my data sets.
  • 🎬 Binge-watching movies and TV series: Streaming expert, because even data geeks need downtime.
  • 💻 Enjoy exploring and testing new software tools: Testing new software tools so you don’t have to—my tech obsession is your gain.

Languages and Tools

R IBM SPSS v23.png

GitHub Stats

abhi-37


   

Performance Metrics

GitHub metrics

Connect with me:

Abhi-37

Feel free to reach out if you want to discuss potential collaborations, share insights, or just connect!

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    This script performs KMeans clustering and trains a neural network to predict heart disease, including data preprocessing, clustering visualization, and model evaluation.

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