Love to bring insights from the data and use it for the profitability of the organisation via better data driven decision making. Making data speak for itself! A Data Professional with 6 years of experience in building various data products for industries including: 🧴 CPG 🍟 FMCG 🚗 MFG ⛽️ Oil & Gas Worked in domains like Marketing, Sourcing, SCM, Retail/Mfg Inventory,Agri, Brand Portfolio and Oil & Gas Industry. Enterprise Level Data Architecture Planning, Designing, Implementation, CI/CD Pipelines with enablement of ML algorithm and Analytics + Visualisation in Python Web framework (Py Dash) or Tools (PBI/Tableau). Data ingestion, data transformation, analysis, feature engineering, data visualisation, data visualisation web app, predictive models, data storage, azure cloud including but not limited to ADF, ADLS, Synapse Analytics, Spark Pool, Azure SQL Managed Instance, Azure App Services etc. . Technical Stack: Language: Python, Pyspark, SQL, C#, Js Gen AI: FLAN T5, Summarization, RHLP, ReAct, Fine Tuning with PEFT, Model Configuration, Prompt Engineering Cloud Data Tech: Azure Data Factory, Azure Data Storage, Azure Synapse Analytics, Analysis Services, Microsoft Fabric, Azure Databricks, Azure Stream Analytics, Azure Cosmos DB, ADLS Gen2, Delta Lake etc. Data: Azure Storage, Oracle, MS SSMS, Presto, Teradata Data Modelling: Snowflake/Star schema. Business Intelligence Tool: Tableau, Power BI, Grafana Libs/Packages: Pandas, d3.js Numpy, Scikit-Learn, Seaborn, Plotly Frameworks: Dash-Plotly, MVC IDE: Visual Studio, Anaconda, Jetbrains, Eclipse, Google Colab Web Framework: Flask, Django, Dash