Samarth Desai

Project Saratoga

• Handled a cross functional team of three people to deliver the client results seamlessly with minimum errors and maximum efficiency.
• Collaborated with clients to understand their specific data needs and business objectives.
• Efficiently processed and managed large volumes of HRIS data, ensuring accuracy and completeness.
• Developed and implemented data cleaning protocols to enhance data quality.
• Generated comprehensive reports and dashboards to present key HR metrics and trends.
• Provided data-driven recommendations to improve HR processes, enhance employee engagement, and optimize workforce planning.
• Identified opportunities for system enhancements and automation to reduce manual effort and increase productivity.
• Applied data analysis to tasks, identifying business challenges and designing potential operational enhancements.
• Provided ongoing support to resolve data-related issues and queries, ensuring user satisfaction.
• Created and maintained documentation for processes, reports, and system functionalities.
• Reduced the data collection, processing and insight generation time by 35% by automating the ETL and data mapping functions.

Project Neon

• Partnered with clients to understand their strategic objectives, providing tailored data insights to support their M&A activities.
• Prepared and presented detailed reports and analyses to senior executives, facilitating informed decision-making and strategic planning.
• Designed and implemented robust ETL workflows to integrate and process large datasets from multiple sources.
• Automated data extraction, transformation, and loading processes, reducing manual workload by 40%.
• Conducted comprehensive data analysis to support mergers, acquisitions, divestitures, and carve-outs, providing clients with actionable insights.
• Created interactive dashboards and detailed reports, enhancing data visibility and decision-making for clients.
• Improved data quality by 30% through rigorous data validation, cleansing, and enrichment processes.
• Reduced data reconciliation deviations by 25% by standardizing data processing techniques and leveraging advanced analytics tools.

Project Helium

• Analyzed large datasets to identify patterns and correlations that indicate supplier risk, providing clients with early warning signals and risk mitigation strategies.
• Conducted segmentation of suppliers based on risk levels, performance metrics, and strategic importance, helping clients prioritize supplier management efforts.
• Leveraged data analytics to identify new potential suppliers and service providers, considering factors like cost, reliability, and market trends, leading to more informed procurement decisions.
• Integrated data from multiple sources, including ERP systems, procurement databases, and third-party risk assessment tools, to provide a holistic view of supplier performance.
• Monitored and analyzed market trends to anticipate supply chain disruptions and recommend proactive measures, improving client preparedness and resilience.
• Worked closely with procurement teams, risk managers, and other stakeholders to ensure alignment and effective use of dashboard insights in decision-making processes.
• Developed automated reporting systems that generate regular updates on supplier performance and risk status, reducing the manual effort required for ongoing monitoring.

• Proactively identified and addressed potential bottlenecks in application performance, resulting in consistently smooth end-user experiences.
• Collaborated with product owners to stay current on intended functionality.
• Conducted daily one-on-one meetings with clients to remain in- formed about their expectations and requirements.
• Provided billing database support, including but not limited to updating billing information, resolving anomalies and duplications, and addressing outliers, for a UK-based telecommunications company.
• Successfully resolved customer issues through the implementation of workarounds and solutions, debugging and creating defect fixes as required.