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atredd23/README.md

Hi there πŸ‘‹ I'm Dhanshree Atre

πŸ’« Aspiring Data Scientist | Machine Learning & AI Enthusiast | Computer Science Student

I'm passionate about building data-driven solutions that solve real-world problems. My interests span predictive modeling, machine learning systems, and applied analytics. I enjoy transforming messy datasets into meaningful insights and scalable tools.

I also write about AI, machine learning, and emerging technologies on my blog:
✍️ explore-ai-with-shree.tech


πŸ”­ Currently Working On

  • Developing predictive models and data-driven pipelines for real-world applications
  • Exploring machine learning workflows for model evaluation, deployment, and automation
  • Building automation and visualization tools using Python, SQL, Pandas, and Matplotlib to support data-driven decision-making

πŸ‘― Looking to Collaborate On

  • Data science and machine learning projects
  • Open-source contributions
  • Research-driven ML experiments and applied AI initiatives

🀝 Looking for Help With

  • Advanced machine learning techniques
  • Model deployment and scalable pipelines

🌱 Currently Learning

  • Machine learning model optimization and evaluation
  • Data visualization storytelling
  • Backend integration for AI-powered applications and data pipelines

πŸ’¬ Ask Me About

  • Python, SQL, data analysis, and visualization
  • Machine learning fundamentals and project workflows

⚑ Fun Fact

I enjoy combining analytics with automation to eliminate repetitive workflows and improve efficiency.


🌐 Connect With Me


πŸ’» Tech Stack:

🧠 Languages

Python R C Java JavaScript HTML5 Ruby Markdown

πŸ€– Machine Learning & Data Science

Machine Learning Deep Learning Computer Vision NumPy Pandas Matplotlib scikit-learn PyTorch

🌐 Backend & Full-Stack

Node.js Express.js REST APIs Flask React

πŸ—„οΈ Databases & Analytics

MySQL PostgreSQL SQLite Power BI Tableau

☁️ Tools, Cloud & DevOps

Git GitHub Linux Azure DigitalOcean Qualtrics Agile Scrum


✍️ Random Dev Quote


⭐️ Always excited to learn, build, and collaborate on impactful data-driven projects.

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