Experienced Data scientist and MLOps Specialist with 14+ Yrs. of experience in the IT field and relevantly 7+ years of Experience with specialization in MLOps, Data science, Machine Learning, Deep Learning, Data optimization and Visualization. Masters in Data Science & engineering and Certified Data Scientist with Microsoft and Jigsaw Academy. Currently working as Manager in Cloud Engineering with Deloitte India LLP, Bangalore. Technical Manager with good communication skills, high and optimized quality of technical work, self-driven and dedication towards work and highly self-motivated. Rich Domain Experience in different fields like Data Analytics, Data Science & Engineering, Development and Maintenance activities for RCM (Retail, Consumer Packaged Goods (CPG) & Manufacturing), E-commerce, Telecom, financial Credit and Risk organisations. Key abilities and Responsibilities handled: ➢ Ability to develop customized MLOps pipelines as per the clients existing ML models. ➢ Hands on experience in building end to end MLOps pipelines using Microsoft Azure and Databricks MLOps stack. ➢ Worked as Lead MLOps expert and handled team of ML and Devops engineers. ➢ Ability to understand customer's business challenges and define appropriate analytics approach to design solution. ➢ Experience in converting mathematical/ statistics-based research literature into sustainable data science solutions. ➢ Experience in managing day to day data science delivery activities and guide the team in executing analytics projects by analyzing large volume of data. ➢ Experience in designing the approach for the application of machine learning/deep learning to existing program and project discipline. ➢ Hands on experience in developing ML models (end to end) ➢ Hands on experience in processing large amount of data and building models using Spark (Azure Big Data Platforms). ➢ Hands on experience with Classification, Regression, time Series forecasting and clustering machine learning algorithms to build and continue to enhance the models. ➢ Worked as a Lead data scientist for guiding modelers and serving as a cross-functional analytics consultant to business stakeholders and team members. ➢ Hands on experience in creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development Key Technical Skills: MLOps: Expert in Azure and Databricks MLOps stack. DataScience&Engineering: Statistical data modeling, Quantitative Analysis, Decision and Predictive modelling, Optimization, Machine Learning (Classification, clustering, decision trees, regression, PCA, SVM, Random Forest), Data Mining, Arima, Time series forecasting, Deep Learning, NLP, and Big data. Programming languages: Python, R, Scala, MySQL, VBA, MS Access. Frameworks & Tools: Anaconda (Spyder & Jupiter), RStudio, Spark, TensorFlow, MLFlow. Analytics Cloud Platform: Azure (Machine Learning Studio, Auto ML, Data Factory, Data Lake, Data bricks)