💫 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

• 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

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

• Advanced machine learning techniques
• Model deployment and scalable pipelines

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

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

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

• ✍️ AI Blog: explore-ai-with-shree.tech
• 💼 LinkedIn: linkedin.com/in/dhanshree-atre
• 📧 Email: atre.dhanshree@gmail.com

Languages:
Python, Java, C, SQL, Ruby, R, Haskell

Libraries & Frameworks:
NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow, Seaborn, Matplotlib, React, Node.js, Express

Tools & Platforms:
Git, Linux, MySQL, PostgreSQL, SQLite, Tableau, Excel, Qualtrics, Azure, MLflow

Development Practices:
Agile (Scrum), Object-Oriented Programming, Data Pipelines, Model Evaluation

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