Ashutos Nayak

Analyzed and Interpreted the E-commerce and Retail domain datasets to Identify trends, patterns and insights by Collaborating with cross functional teams to provide data driven insights and recommendations. Created and maintained daily / weekly / monthly / Yearly reports and dashboards by using Power BI and Ms-Excel to track KPIs. Executed ETL operations / pipelines on Azure cloud by using Azure data factory to store the data from Azure Blob Storage to Azure SQL Database and seamlessly integrating with Power BI to automate and enhance reporting processes. Utilized Python libraries to perform data cleaning, data transformation steps along with statistical exploratory data analysis (EDA) on weekly and monthly basis to effectively identify trends and patterns within the data which helps in decision making.

Implemented Python to analyze the Social media website data like Likes, impressions, clicks, engagements to extract actionable insights. Utilized Ms-Excel to organize and visualize data by creating dashboards including device, region and age info / details to facilitated data driven decision making.

Worked with Power BI as well as Ms-Excel using Retail and e-commerce domain datasets by understanding the requirements. Performed data connectivity to the data sources, data cleansing, data transformation and web scrapping steps on the large complex raw dataset to examine and visualize as well as Creating dashboards to explore the targeted key insights.