Jasleen Kaur

 Spearheaded the creation and upkeep of sophisticated dashboards and analytical reports using Power BI and Tableau, delivering key insights that informed and guided strategic business decisions
 Utilized advanced Excel functions like VLOOKUP, Macros, and Pivot Tables to streamline data analysis and reporting processes. This led to a 30% reduction in analysis time and a 25% increase in reporting accuracy, significantly enhancing the overall efficiency and reliability of data-driven insights
 Oversaw the handling of large-scale datasets with MS SQL Server, focusing on maintaining the highest standards of data integrity and adherence to compliance requirements

<p>Spearheaded the creation and upkeep of sophisticated dashboards and analytical reports using Power BI and Tableau, delivering key insights that informed and guided strategic business decisions<br>
Utilized advanced Excel functions like VLOOKUP, Macros, and Pivot Tables to streamline data analysis and reporting processes<br>
This led to a 30% reduction in analysis time and a 25% increase in reporting accuracy, significantly enhancing the overall efficiency and reliability of data-driven insights<br>
Oversaw the handling of large-scale datasets with MS SQL Server, focusing on maintaining the highest standards of data integrity and adherence to compliance requirements<br>
Leveraged SQL expertise to optimize database queries, resulting in a 35% reduction in data retrieval times<br>
This enhancement facilitated quicker access to critical financial data, supporting more efficient and informed reporting and decision-making processes<br>
Innovatively engineered and refined ETL workflows with SSIS, markedly enhancing the efficiency and dependability of data processing operations<br>
Expertly executed comprehensive data analyses using Python, R, and VBA, crucially influencing, and guiding the formulation of key business strategies<br>
Utilized Power Query and DAX within Power BI for sophisticated data modeling, significantly improving the precision of financial forecasting and planning<br>
Led predictive analysis projects, employing statistical methods and machine learning models using TensorFlow, sci-kit-learn, and PyTorch, resulting in a 10-15% increase in predictive accuracy for customer behavior models<br>
Actively participated in Agile/Scrum processes, using Jira and Confluence for project tracking and documentation, contributing to a 20% improvement in project delivery timelines<br>
Coordinated with cross-functional teams to drive data-driven solutions, fostering a culture of continuous improvement<br>
Skillfully managed version control and enhanced team collaboration in data projects utilizing Git, GitHub, and Bitbucket, ensuring seamless and efficient execution of multiple concurrent initiatives<br>
Led the implementation of Docker and Kubernetes for deploying and managing data applications, achieving substantial gains in operational efficiency and scalability of systems</p>

<p>Designed and enhanced a variety of business reports and dashboards using tools like Excel, Power BI, and Tableau, increasing the usability and accessibility of data for decision-making<br>
Efficiently utilized Power BI to create interactive and user-friendly dashboards<br>
This approach improved data visualization and reporting clarity, leading to a 20% increase in stakeholder engagement and a more streamlined decision-making process<br>
Continuously refined reporting processes and methodologies to increase efficiency and accuracy<br>
Performed in-depth analyses of diverse datasets to uncover trends, efficiencies, and areas for improvement, contributing valuable insights for business strategy and operations<br>
Collaborated with business units to understand their unique data needs, ensuring that reports were tailored to specific goals and objectives<br>
Played a key role in managing and maintaining database systems, focusing on data accuracy and integrity<br>
Streamlined data extraction and manipulation using SQL and other database tools, enhancing the timeliness and reliability of report generation<br>
Contributed to the development and maintenance of automated reporting systems, reducing manual effort, and improving report delivery speed<br>
Regularly reviewed and updated existing automated reports to ensure they remained effective and relevant to changing business needs<br>
Worked closely with various departments to gather requirements, provide data insights, and support data-driven decision-making</p>