🎓 Aspiring Data Scientist & AI Enthusiast | Full-Stack Data Explorer | Power BI & ML Practitioner | Lifelong Learner of Emerging AI Technologies

• Programming & Tools: Python | SQL | MySQL | Git/GitHub | VS Code | Jupyter Notebook | Power BI | Excel
• Data Science & Analytics: Pandas | NumPy | Matplotlib | Seaborn | Plotly | Scikit-Learn
• Machine Learning & AI: Supervised & Unsupervised Learning | Regression & Classification | Neural Networks | TensorFlow | Deep Learning
• MLOps & Deployment: MLflow | DVC | Flask | Modular Python Pipelines | CI/CD integration
• NLP & RAG (Retrieval-Augmented Generation): Text analysis | LLM integration | Agentic AI experiments
• Data Visualization: Power BI dashboards | Interactive storytelling | KPI tracking | Trend analysis
• Other Interests: Big Data analytics | AI-driven decision support | Computer Vision & NLP applications

I am deeply passionate about transforming raw data into actionable insights and building AI-driven solutions that solve real-world problems. With a strong foundation in computer engineering and mathematics, I combine analytical thinking with technical skills to explore complex datasets and generate predictions.

I strongly believe in continuous learning, keeping up with the latest AI innovations, and building hands-on projects that demonstrate practical knowledge and impact.

I’m actively exploring and mastering cutting-edge technologies in data science, AI, and machine learning:

• Machine Learning (ML): Sharpening skills in regression, classification, ensemble methods, and feature engineering
• Deep Learning & Neural Networks: Experimenting with TensorFlow for predictive and generative AI tasks
• Natural Language Processing (NLP): Building models to understand and process human language effectively
• Retrieval-Augmented Generation (RAG): Integrating LLMs with external knowledge bases for intelligent responses
• Agentic AI: Exploring autonomous AI agents that plan and execute tasks efficiently
• Power BI & Data Visualization: Crafting interactive dashboards to turn data into insights
• MLOps & Production Pipelines: Deploying scalable ML solutions using MLflow, DVC, and Flask
• Big Data & Analytics: Leveraging large-scale datasets for trend analysis and predictive modeling
• AI in Real-world Applications: Building end-to-end projects that combine ML, NLP, and visualization

• Machine Learning Projects: Predictive modeling, regression/classification pipelines, and modular coding practices
• Power BI Dashboards: Interactive dashboards for FMCG sales, IPL performance, and operational analytics
• MLOps Implementations: Reproducible pipelines using DVC, experiment tracking with MLflow, and real-time deployment using Flask
• RAG & NLP Experiments: Intelligent retrieval and text understanding with AI-driven systems
• Agentic AI & Autonomous Agents: Testing AI agents for decision-making tasks and automated workflows

I’m always excited to connect with data enthusiasts, AI innovators, and collaborators. Let’s explore, learn, and innovate together!

• LinkedIn: linkedin.com/in/parth2104
• GitHub: github.com/parth2104
• Email: parth00221@gmail.com

If you are passionate about AI, machine learning, data visualization, or MLOps, let’s connect, collaborate, and innovate. I am always looking for opportunities to learn, grow, and contribute to exciting projects in the AI and data space.

"Data is the new oil, but insights are the engines that drive progress." 🚀