Developed Dashboards and reports connecting to various sources like SQL server, Excel, SharePoint, APIs,and Adobe using power bi desktop.∗ Engineered DAX code to derive key performance indicators such as YOY, WOW, MOM, YTD, and MTD;utilized functions like CALCULATE, SUM, RANK, DENSE RANK, and SUMMARIZE to enhance datainsights by 40%∗ Crafted detailed data models with Power Pivot, transforming them into insightful Power BI visualizations;streamlined analytical processes, reducing manual reporting efforts by 45% and enabling quicker strategicinsights.∗ implemented Bookmarks and Row Level Security (RLS).∗ Designed several Power apps, publishing and scheduling report refreshes with data Gateways and implementingpage navigation with bookmarks and actions.

Enhanced data manipulation, analysis, and visualization in machine learning projects using various Python libraries:NumPy: Efficiently handled numerical data, performed mathematical operations, and manipulated arraysPandas: Conducted data manipulation, cleaning, and transformation tasks for effective data preprocessing and analysisMatplotlib: Created insightful data visualizations (line plots, scatter plots, bar charts, heatmaps) to analyze and present machine learning model resultsSeaborn: Integrated with Pandas and Matplotlib to produce visually appealing and informative statistical graphics for exploratory data analysis