Sagar Kudale

Vision Centre

• Leveraged expertise in data analytics to provide strategic insights and recommendations to Fortune 500 companies.
• Applied SQL and Python to extract, transform, and analyze large datasets, enabling efficient decision-making processes.
• Developed interactive visualizations and dashboards using Power BI and Dataiku to facilitate data interpretation by stakeholders.
• Collaborated with cross-functional teams, including business stakeholders, data engineers, and software developers, to drive data initiatives and deliver analytical solutions aligned with business objectives.
• Identified opportunities for process improvement and cost savings through data analysis, leading to enhanced operational performance across various functions. Implemented robust data quality controls and governance frameworks to ensure data integrity, accuracy, and compliance.
• Effectively communicated analytical findings and insights to non-technical• stakeholders through clear and concise presentations, enabling data-driven decision making throughout the organization

Centre For Disease and Control

• Successfully identified and removed outliers and duplicates from datasets• using Dataiku Flow, resulting in improved data quality and enhanced accuracy of analysis. Utilized Dataiku Flow's advanced data cleansing and transformation capabilities to effectively identify and address outliers and duplicates, ensuring high quality and reliable data for analysis.
• Collaborated with clients to understand their specific requirements and implemented tailored outlier and duplicate removal strategies using Dataiku Flow, leading to increased client satisfaction.
• Documented the outlier and duplicate removal processes using Dataiku Flow, creating a scalable and replicable solution for future projects and ensuring consistency in data quality management.
• Proactively identified opportunities for process optimization and automation within the outlier and duplicate removal workflows, enhancing efficiency and productivity in data management tasks.
• Communicated the outcomes and benefits of outlier and duplicate removal efforts to stakeholders, highlighting the positive impact on data integrity and analysis results, further reinforcing client satisfaction.

• Demonstrated proficiency in requirement gathering and skilled in creating interfaces to facilitate seamless data transfer between different data sources using the Kronos WFM tool
• Highly trained in identifying and understanding project requirements, and effectively translating them into actionable solutions
• Well-versed in leveraging the capabilities of Kronos WFM to optimize data integration processes, ensuring smooth and efficient data flow across systems
• Committed to delivering high-quality results and driving operational efficiency through effective data management and interface development