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As a Data-Driven Professional, I specialize in transformative research and practical applications of machine learning (ML), deep learning (DL), artificial intelligence (AI), and data analytics. Proven expertise in statistical modeling, algorithm development, and driving data-informed strategies. My collaborative approach involves engaging with both internal and external stakeholders to understand BRD( Business Requirement Document) and identify opportunities to translate business requirements into scalable ML solutions.Lead the development and delivery of analysis, insights, and models using data science and ML techniques to address key business issues and improve decision-making effectiveness.Follows the end-to-end data science project lifecycle aligned with business objectives, Data Gathering & Annotation, Model Development & Training, Test & Validate Model, Model Deployment, and Monitoring.Proficient in applying statistical methodologies, I excel in performing Exploratory Data Analysis (EDA) using a range of Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, Sklearn, and others. My skills in probability theory facilitate accurate predictions and comprehensive risk assessments.I contribute to informed decision-making by creating new metrics, reports, and dashboards, leveraging insights from both historical and real-time data, particularly in the areas of product development and innovation.Familiar with the spectrum of ML algorithms, including supervised/unsupervised learning algorithms, Deep learning neural networks, image recognition, natural language processing, and time series analysis. productionizing ML models through Continuous Integration & Delivery, supported by MLOps/ML pipelines and Agile-Scrum and CRISP-DM methodologies. I am well-versed in MLOps tools like MLFlow, Metaflow, DVC, and TensorFlow Extended.My implementation extends to ML cloud platforms (AWS SageMaker, Azure ML, Azure Data Factory, Databricks, and GCP). Additionally, I possess a good working knowledge of productivity tools such as GitHub, DagsHub, Jira, and Jenkins.I stay up-to-date with the latest trends and advancements in MLOps, ML frameworks, and DevOps methodologies. Moreover, I have expertise in big data technologies like Hive, HBase, and Spark for distributed data processing. My programming skills encompass Python, R, Java, Scala, and ETL Informatica.In addition, I'm a Certified PMP and a seasoned Scrum Master. This unique blend of project management expertise and technical proficiency