A highly experienced and skilled data scientist with over 10+ years of experience in machine learning, data analysis, and statistical modelling. Proficient in using Python, R, SAS, SQL, and various data visualization tools to extract insights from large and complex datasets. Strong background in statistics, data mining, and data-driven decision making. Experienced in using Azure Databricks and MLflow to build, deploy, and manage machine learning models at scale. Experienced in designing and implementing MLOps solutions that improve the efficiency, scalability, and reliability of machine learning pipelines, and have extensive experience integrating these solutions with other Azure services, such as Azure Data Factory and Azure Blob Storage. Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, Engineering, features scaling, features engineering, statistical modelling (Decision Trees, Regression Models, Neural Networks, Support Vector Machine (SVM), Clustering), dimensionality reduction using Principal Component Analysis and Factor Analysis, testing and validation using ROC plot, K - fold cross validation and Data Visualization. Developed and implemented machine learning models using Azure Machine Learning and Azure Databricks to solve complex business problems in the manufacturing industry. Good Knowledge in Proof of Concepts (PoC's), gap analysis and gathered necessary Data for analysis from different sources, prepared Data for Data exploration using Data munging. Good industry knowledge, analytical & problem-solving skills, and ability to work well with in a team as well as an individual. Highly creative, innovative, committed, intellectually curious, business savvy with good communication and interpersonal skills. Extensive experience in Text Analytics, generating Data Visualization using Python and R creating dashboards using tools like Tableau. Hands on experience with Big Data tools like Hadoop, Spark, Hive, Pig, Impala, Pyspark, Spark SQL. Experience in using various packages in Python and R like Scikit-Learn, Keras, TensorFlow, ggplot2, caret, dplyr, Rweka, gmodels, RCurl, tm, twitteR, NLP, Reshape2, plyr, pandas, numpy, seaborn, scipy, matplotlib, scikit-learn, Beautiful Soup. Responsible for model performance monitoring and optimization. Developed and deployed machine learning models using Python and R to make predictions and generate insights. Designed and implemented data visualization dashboards using Tableau to communicate resuts