Utkarsh Nihal Email & Phone Number

Bengaluru, Ka, In

Illinois, United States

Passionate about leveraging cutting-edge technology to drive operational excellence, I thrive in dynamic environments where I can collaborate with clients to optimize their data quality strategies. As a Customer Success Manager at RoutineAI, I specialize in providing tailored solutions for clients in the energy trading industry, helping them harness the power of data to make informed decisions and stay ahead of the curve.With a strong background in data analytics and a deep understanding of the energy trading landscape, I excel in identifying key pain points and designing customized solutions that streamline processes and drive tangible results. My expertise includes:> Proactively engaging with clients to understand their unique challenges and goals> Developing and implementing data quality strategies to ensure accurate and reliable insights> Collaborating with cross-functional teams to deliver seamless integration and support> Providing ongoing guidance and training to empower clients in maximizing the value of our solutions> Continuously monitoring performance metrics and KPIs to drive continuous improvement initiatives

India

> Collaborated with business stakeholders to gather requirements and translated them into validation rules and transformation specifications, optimizing data handling and processing.> Led rigorous testing, including unit tests, component integration tests, systems, and acceptance testing, resolving issues with cross-functional teams for smooth validation and transformation processes.> Automated 70+ reports using Jira, Oracle SQL Developer, and RoutineAI, enhancing data analysis and reporting for a diverse USA-based manufacturer, covering domains like Accounting, Customer, Manufacturing, and more.> Managed cross-functional collaboration with stakeholders worldwide, ensuring timely delivery of tailored reports and meticulous documentation of audit and report creation processes.> Utilized data transformation techniques and tools, such as DBeaver, Excel, and Routine AI, to create customized monthly and weekly reports for asset management and journey reports, maintaining data accuracy and streamlining report generation with cross-functional teams.> Analyzed incoming files for issues and checked master data & post-processing tables (in Snowflake) to highlight known and unknown issues. Identified root causes and compared across multiple systems/databases.> Discovered data quality issues that were not previously detected, enhancing overall data integrity and reliability.