Project : TensorFlow Skills & Tools : Python, Web Scraping, , MS Excel, VS Code, Jupyter, Google Colab.Web Scraping & Analytics : Developed multiple Python Automation projectsfor Web Browser Automation and extracting insights. Created Quick Visualsand Summaries using Pivot tables and charts in Excel.Impact - Impressed Customers with interesting insights leading to betterdecisions in allocating resources to the right channels.(POC) Topic Modelling for a given repository on Github to identify the keyIssue Areas to focus on for the Google Support teams. Used LDA Algorithm forclustering the issues and performed Tuning for Number of Topics , Word Topic& Document topic distribution. Monitored different experiments on ML Flow.Evaluated the performance based on Human judgment and QualitativeMeasures.Impact : Equipped support teams with useful insights to channel theirskills in specific key areas to provide better support to GoogleEngineering Teams..Skills: Data Science · Deep Learning · SQL · TensorFlow · Python.

Worked with the COA team as Bl developer• Creating and maintaining data warehouse in Azure sql database by extracting data fromD365• Created reports on top of data warehouse (Sales, Purchase, Production, Inventory) in Power BI

Served in BI team, gathered hands on experience in scripting and debugging of multiple ETL Sproc's in a complex data warehouse, Created Power BI report's as per client requirements and also taken care of setup and monitoring of export jobs in D365.