Darshan Modi

• Created and automated data visualizations to present insights and tell compelling stories.
• Analyzed large amounts of data to identify trends and find patterns, signals and hidden stories within data.
• Performed root-cause analysis on data-related system problems to recommend or execute corrective action.
• Leveraged text, charts and graphs to communicate findings in understandable format.
• Used business objects, business intelligence and other reporting tools to extract data from data solutions and data warehouses.
• Assessed large datasets, drew valid inferences and prepared insights in narrative or visual forms.
• Developed and implemented data collection systems and other strategies to optimize statistical efficiency and data quality.
• Managed key tasks and resources to achieve cost, schedule and strategic growth initiatives.
• Interpreted business questions and collaborated with engineering teams to identify data sources.
• Identified, reviewed and evaluated data management metrics to recommend ways to strengthen data across enterprise.
• Utilized data visualization techniques to present and explain complex data sets.
• Generated standard and custom reports to provide insights into business performance.
• Developed customized reports, summarizing and presenting data in visually appealing format.
• Designed and developed data pipelines to acquire, clean and process data.
• Created dashboards to monitor and track key performance indicators.
• Created data models to support decision-making processes.
• Optimized data access and storage to improve performance of analytics systems.
• Developed complex dashboard and reporting tools to track business performance metrics.
• Generated ad-hoc reports to evaluate specific business requirements.
• Developed and implemented data governance policies and procedures.
• Identified patterns and trends in large data sets and provided actionable insights.
• Collaborated with stakeholders to identify business needs and data sources.
• Developed and maintained data warehouses and data marts to support business operations.
• Provided technical support for troubleshooting analytics and reporting issues.
• Implemented business intelligence solutions to increase operational efficiency.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Developed data mining algorithms to identify and classify patterns in data.
• Developed intelligence-sharing dashboards, providing company-wide access to collected data.
• Created data analysis tools to allow teams to query acquired information for unique details.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Liaised with DevOps team to integrate business intelligence assets into future development lifecycles.
• Drafted strategic business intelligence roadmap, complete with data governance policies and tactical information safeguards.
• Directed implementation of new business intelligence tools, selecting appropriate solutions and aiding in corresponding onboarding processes.

• Produced monthly reports using advanced Excel spreadsheet functions.
• Identified, analyzed and interpreted trends or patterns in complex data sets.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
• Utilized data visualization tools to effectively communicate business insights.
• Used statistical methods to analyze data and generate useful business reports.
• Documented effective and replicable methods for extracting data and organizing data sources.
• Analyzed transactions to build logical business intelligence model for real-time reporting needs.
• Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations for business users.
• Analyzed data to identify root causes of problems and recommend corrective actions.
• Identified patterns and trends in large data sets and provided actionable insights.
• Analyzed large amounts of data to identify trends and find patterns, signals and hidden stories within data.
• Created and automated data visualizations to present insights and tell compelling stories.
• Leveraged text, charts and graphs to communicate findings in understandable format.
• Assessed large datasets, drew valid inferences and prepared insights in narrative or visual forms.
• Performed root-cause analysis on data-related system problems to recommend or execute corrective action.
• Used business objects, business intelligence and other reporting tools to extract data from data solutions and data warehouses.
• Collaborated with stakeholders to identify business needs and data sources.
• Developed customized reports, summarizing and presenting data in visually appealing format.
• Provided technical support for troubleshooting analytics and reporting issues.
• Created dashboards to monitor and track key performance indicators.
• Generated standard and custom reports to provide insights into business performance.
• Developed complex dashboard and reporting tools to track business performance metrics.
• Utilized data visualization techniques to present and explain complex data sets.
• Implemented business intelligence solutions to increase operational efficiency.
• Created data models to support decision-making processes.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Designed and developed data pipelines to acquire, clean and process data.
• Optimized data access and storage to improve performance of analytics systems.

• Initiated research, analyzed business operations, and problem solved operating inefficiencies, saved a combined 800 man-hours a month
• Worked with clients and stakeholders to draft and document goals, encouraging transparent communication to meet 7% of deadlines
• Effectively handle customer complaints via telephone, ensuring timely resolution and high customer satisfaction
• Analyze and manage team performance reports using Microsoft Advanced Excel and SAP Business
• Objects, implementing necessary changes for improvement
• Lead and motivate the team to achieve challenging targets, while providing coaching, training, and conducting interviews for new staff recruitment.
• Monitored team performance and provided constructive feedback to increase productivity and maintain quality standards.
• Supervised team members to confirm compliance with set procedures and quality requirements.
• Worked with team to identify areas of improvement and devised solutions based on findings.
• Built strong relationships with customers through positive attitude and attentive response.
• Established open and professional relationships with team members to achieve quick resolutions for various issues.
• Conducted training and mentored team members to promote productivity, accuracy, and commitment to friendly service.
• Conducted training and mentored team members to promote productivity and commitment to friendly service.
• Mentored and guided employees to foster proper completion of assigned duties.
• Promoted high standards through personal example to help each member understand expected behavior's and standards.
• Held weekly team meetings to inform team members on company news and updates.
• Monitored time and attendance, enforcing compliance with company procedures relating to absenteeism.
• Educated staff on organizational mission and goals to help employees achieve success.

Grade - 88%, Database Management System Analysis & Design