Computer Science graduate with a passion for Technology. Proficient in analyzing business requirements, translating them into actionable insights, and implementing Machine Learning algorithms. Developed a scalable pipeline utilizing Azure technology stack. Designed an adaptable and dynamic ML model capable of accommodating multiple users concurrently.☑️ Key Competencies:➡️ Knowledge of a variety of machine learning techniques (for example, clustering, logistic regression, decision tree learning, random forest, xgboost, time series models, SVM, artificial neural networks, etc.)➡️ Hands-on Experience with statistical computer languages.➡️ Understanding fundamental statistical principles such as the Central Limit Theorem, Confidence Intervals, Hypothesis Testing, etc., as well as more advanced statistical concepts like Gradient Boosting and Regularization.➡️ Managing project deployments using proper CI/CD approach.➡️ Analyzing and implementing business requirements.➡️ Hands-on experience with all the algorithms and tools of Machine Learning through mini projects, Assignments, and Tasks.☑️ Technologies:➡️ Scikit-learn, PyTorch, Pandas, NumPy, Matplotlib, Seaborn, Tableau, R,➡️ Microsoft Azure, Azure Data Lake Gen2, Azure Databricks, Azure Data Factory,➡️ Python, Machine Learning, PostgreSQL, Azure DevOps, Pyspark, Spark Structured Streaming,➡️ Docker, Kubernetes, Git, Github, Jenkins.