Experienced Professional engaged in multiple avenues of Data Science tech stack. My typical day is spent providing highly scalable solutions for enterprise management. I'm exceptionally skilled in problem-solving, system design, python frameworks, advanced analytics, machine learning, and deep learning with the flavor of DevOps to provide data-intensive applications for cross-domain clients from development to production. Programming Languages: Python and R Software development: Object Oriented Design, High-Level Design, Test-driven development. Python Frameworks: Fast API, Flask, Tkinter, Numpy, Pandas, Matplotlib, Seaborn Plotly,  Streamlit Machine Learning Framework: Scikit-Learn, TensorFlow Data Analytics tool: Power Bi, Microsoft Excel, Google sheets Database: MySQL, Data warehousing, ETL Machine Learning Technique and algorithms: Linear Regression, Decision Tree, SVMs, Random Forest, XgBoost, ARIMA, Neural Network, RNN, CNN, Gradient Descent, A/B Testing, K -means clustering, Logistic Regression, predictive analysis.  AWS Cloud: AWS EC2, IAM, SageMaker,  MLOps: Linux, Git, Github, Docker, Kubernetes, CI CD Pipeline, Jenkins. 🚀 Aside from these things, I am a great believer in the transformative power of innovative life-changing ideas.