Inwerk  GmbH, Düsseldorf, Germany
Project: Integration, analysis, and generation of insights from marketing, sales, and customer data

● Built and deployed Power BI dashboards, increasing real-time decision-making efficiency for stakeholders by 1 0%
● Enhanced e-commerce conversion rate by 10% by analyzing user data using SQL and providing actionable business insights.
● Increased Average Order Value (AOV) by 15% through complex data querying and segmentation analysis.
● Developed automated data pipelines using Azure Data Factory and Fivetran boosting data capacity by 30%.
● Worked cross-functionally with marketing, IT, and product teams to align data strategies with optimization goals. 
Technologies used: SQL | Power BI | Python | Azure Data Factory | Looker

Gorillas, Berlin, Germany
Project: Analysis of Marketing and Customer Feedback (NPS) Data.
 ● Leveraged BigQuery to analyze marketing channels, improving efficiency by 8% and providing insights for campaign optimization
● Conducted customer sentiment analysis, boosting Net Promoter Score (NPS) by 5% with actionable recommendations.
 ● Automated reporting processes, enabling the marketing team to track key metrics seamlessly. 

Technologies used: Google BigQuery | Python | Tableau

●Automated data pre-processing tasks, reducing project timelines by 10%.
● Conducted data-driven reporting to improve marketing strategies and deliver actionable insights.
● Created dynamic reports with SQL and Python, enhancing data accessibility for business stakeholders.
Technologies used: SQL | Power BI | Python

DemandMatrix Inc., Pune, India
Project: Identifying sales prospects and intent through data analysis and visualization.
● Improved prospect engagement by 15% through tailored data analytics solutions for Fortune 500 clients, including Microsoft.
● Delivered market intelligence reports and data visualization dashboards to drive strategic decisions for clients.
Technologies used: Power BI | Python | Excel