Hello there! I'm a data science engineer who loves diving into the world of advanced analytics, statistical modeling, and generative Al. I've got a strong foundation in data science and cloud computing, which I've built over the years. I enjoy working closely with different stakeholders, understanding their unique needs, and crafting solutions that make a difference. It's always a great feeling to see these projects boost operations and help achieve strategic goals. My work involves a research and analysis of large datasets, developing statistical models, and making sure we're always on top of data security compliance. I use a variety of tools for this, including Excel and DataIKU, and I'm pretty handy with programming languages like Python. I've also dipped my toes into cloud computing, full-stack development, and agile methods. I'm always eager to learn more and expand my network, so feel free to connect with me on Linkedin or drop me an email at someshghaturle@gmail.com. Competencies: Data Science: Data Visualization, Pattern Recognition, Software Development, Big Data, Data Engineering, Statistical Modeling, Data Mining, Generative AI Cloud Platforms: Azure (Databricks, Data Factory, Logic Apps, Synapse Analytics, Notebooks, DevOps, Cognitive Services, Machine Learning Service for MLOps, Data Lake, Delta Lake, Blob Storage, SQL and NoSQL Databases), Snowflake (Data Warehouse, Data Marketplace, Data Storage, Time Travel, Query Processing, Snowpark, Materialized Views, Data Sharing, Data Pipeline, External Functions, Data Encryption, Access Control (RBAC), UDFs, UDTFs, Connectors, APIs), AWS (Elastic MapReduce, S3, Aurora, EC2, Redshift, Glue, SageMaker) Programming Languages / Packages: Python, R, SQL, Java, C++, C, TensorFlow, Keras, PyTorch Techniques: Artificial Intelligence, Predictive Analytics, Apache Spark 3.0, Hadoop MapReduce, Hadoop Lambda