I’m an Information Technology graduate passionate about building Machine Learning, NLP, and AI applications that solve real-world problems. I enjoy transforming raw data into actionable insights through statistics, data analysis, and predictive modeling, while continuously strengthening my skills in machine learning, deployment, and AI engineering through hands-on projects and continuous learning.

• 🎓 Information Technology Graduate
• 🧠 Interested in Machine Learning, Deep Learning, NLP, Generative AI, Agentic AI, and Data Visualization
• 📊 Building end-to-end Data Science and AI projects
• 🚀 Currently working on NLP, ML deployment, and GenAI applications
• 🎯 Goal: Become a Data Scientist capable of solving real-world business problems using data and AI

• 🤖 Machine Learning — A comprehensive collection of core ML algorithms, data preprocessing frameworks, feature engineering techniques, and validation pipelines implemented from scratch.
• 💬 Natural Language Processing — Hands-on NLP implementations covering text cleaning pipelines, static word vector embeddings (Word2Vec), matrix factorization, and sequence-based feature extractors.
• 🗄️ SQL for Data Science — Structured analytic scripts focusing on complex window functions, relational aggregations, multi-table joins, and query tuning optimization for big data engineering.
• 📦 GitHub MLOps Model Deployment — End-to-end production pipeline leveraging Streamlit for front-end rendering, MLflow for lifecycle experiment tracking, and automated GitHub Actions workflows for continuous integration.

• GitHub: https://github.com/its-AkashSalunkhe
• LinkedIn: https://www.linkedin.com/in/akash-salunkhe-7902673b5/
• Email: akashsalunkhe0507@gmail.com

⭐ Always learning, always building, and always looking for opportunities to solve meaningful problems with data and AI.