HIMAJA S B

Results-driven Quality Specialist at Amazon Development Centre India Pvt Ltd, skilled in Advanced Excel and analytical thinking. Successfully created actionable reports and identified trends to enhance product quality, leading to strategic improvements. Collaborated effectively across departments, ensuring quality readiness and stakeholder satisfaction through timely responses and data-driven insights.

• Consistently maintained high customer satisfaction ratings
• Recognized with internal R&R for providing top quality and productivity

Business Analyst in Excelr

Kickstarter Crowdfunding Dataset

• Designed and developed a comprehensive dashboard to analyze and track the performance of Kickstarter crowdfunding campaigns with over 50,000 data points using Excel, Tableau, Power BI, and SQL.
• Utilized SQL to efficiently extract and aggregate large datasets from relational databases, ensuring smooth and accurate data processing for comprehensive campaign analysis.
• Created complex data models and visualizations in Power BI and Tableau, transforming raw data into actionable insights regarding funding trends, backer demographics, and campaign performance metrics.
• Leveraged Excel for initial data cleansing, performing advanced data transformations to ensure data quality and consistency.
• Optimized data processing workflows to handle and analyze large datasets, significantly reducing processing time by 30% and enabling real-time reporting.
• Developed custom, interactive dashboards in Tableau and Power BI, allowing stakeholders to drill down into specific metrics (e.g., project funding rates, backer locations, and reward tiers) for better decision-making.
• Delivered insights that informed campaign strategies, improving funding rates and backer engagement for ongoing projects.

HR ANALYTICS OF EMPLOYEE RETENTION

• Created an HR analytics dashboard to monitor and analyze employee retention patterns, utilizing a dataset of over 50,000 employee records.
• Used SQL to query and extract critical employee data from HR systems, including tenure, department, performance, and exit interviews, for in-depth retention analysis.
• Leveraged Excel to clean, preprocess, and prepare the data, performing complex data transformations such as filtering, aggregating, and summarizing to ensure high-quality datasets for analysis.
• Designed and deployed Tableau and Power BI dashboards with interactive charts and graphs, enabling HR teams to explore retention trends, identify at-risk departments, and analyze turnover by various demographics like age, tenure, and role.
• Applied advanced analytics to detect patterns and correlations between employee satisfaction, performance, and retention, providing actionable insights to HR leadership for strategic workforce planning.
• Streamlined data reporting processes by automating weekly retention reports, reducing manual effort by 30% and improving response time for HR initiatives.
• Collaborated with HR leaders to develop data-driven retention strategies, leading to improved retention rates in key departments by identifying actionable intervention points.