Darshan GV

• Requirement Gathering Engaged with cross-functional and customer-facing teams to gather, define, and validate business requirements, translating stakeholder needs into clear KPIs Gross Margin, Operational Metrics) and reporting standards
• Executed Exploratory Data Analysis EDA and rigorous Quality Control QC on 10M records, identifying and resolving inconsistencies to improve data accuracy by 10%
• Defined and validated complex data mapping and filtering logic, ensuring 100% alignment of key financial metrics Revenue, Margin) with client-reported figures
• Engineered automated data ingestion pipelines using Python to load datasets into Google BigQuery; developed multi-layered SQL models Raw, Staging, Master) that reduced manual processing time by 20%
• Designed and deployed interactive Power BI/Tableau dashboards and executive reports, accelerating report turnaround time by 25% and enhancing stakeholder visibility
• Partnered with cross-functional and customer-facing teams to define KPIs Gross Margin, Operational Metrics) and reporting standards, improving project alignment by 10%
• Maintained and validated analytics-ready datasets to ensure seamless tracking of
customer performance and long-term data reliability

• Lead the development and deployment of ISC report automation solutions using Power BI, enhancing data accuracy and reducing report generation time by 30%.
• Mentor and guide team members in optimizing MOH and Logistics Cost Analysis processes, improving reporting efficiency and decision-making accuracy.
• Integrate complex data sets from Hyperion and BOXi platforms into Power BI, streamlining reporting workflows and automating data consolidation.
• Spearhead a cross-functional team to rapidly implement supply chain solutions, resulting in a 25% improvement in operational efficiency.

Power BI Project:

• Data Analysis with DAX: Leveraged Power BI's powerful DAX language to perform advanced calculations, define measures, and create calculated columns for insightful data analysis.
• Data Transformation with M-code: Utilized Power Query's M-code to transform, prepare, cleanse, and shape data, optimizing data visualization and reporting in Power BI.
• Meaningful Insights and Visual Dashboards: The combination of DAX and M-codes enabled the derivation of meaningful insights and the creation of visually appealing dashboards and reports in Power BI based on the analyzed and transformed data from its source.

Experience in SQL, Azure, ETL, R or Python: I have experience in SQL and Azure. I've designed and implemented end-to-end ETL processes using Azure Synapse, automating data movement and transformation into Azure Synapse Analytics. Additionally, I have experience with Python, as demonstrated by my ML project where I developed a regression model.

Microsoft Excel & PPT: Proficiency in Microsoft Excel and PowerPoint is a core strength of mine. I've used Excel for advanced data analysis, and I've created executive-level presentations in PowerPoint.

In addition to Power BI, I have experience with other Tableau. I can leverage my knowledge of these tools for data visualization and analysis.

• Data Cleaning and Formatting: - Spearheaded comprehensive data cleaning initiatives, removing duplicates, filling missing values, and standardizing formats to ensure data accuracy and reliability.
• Data Visualization: - Developed visually compelling charts and utilized conditional formatting
  techniques to convey complex data trends in a clear and accessible manner.