DOWNERS GROVE, US, ***** • ***********.*@*****.*** •
PAYAL KUMARI
PROFESSIONAL SUMMARY
Detail-oriented and reliable entry-level analyst with hands-on experience in payroll data operations and healthcare administration. Adept at managing multiple tasks, maintaining accuracy under deadlines, and contributing to a professional, team-oriented environment. Seeking a remote data entry opportunity to apply strong organizational skills, communication abilities, and a commitment to continuous learning. EMPLOYMENT HISTORY
PAYROLL DATA ANALYST Aug 2024 - Feb 2025
Divine Home Health Dallas, TX
BUSINESS ASSOCIATE INTERN Dec 2023 - May 2024
Insight & Medical Center Hospital Chicago, IL
DIGITAL PERSONAL SHOPPER Oct 2023 - Dec 2023
Walmart Dearborn, MI
SALES FLOOR ASSOCIATE Sep 2022 - Nov 2022
Dollar Tree Dearborn, MI
PRODUCE PRODUCTION Apr 2022 - Jul 2022
Whole Foods Market Chicago, IL
Entered and verified payroll data with precision across multiple employee records. Supported variable compensation calculations and ensured timely submissions. Maintained organized documentation and followed internal procedures. Collaborated with cross-functional teams to uphold compliance and workplace professionalism. Adapted quickly to remote tools and workflows, ensuring consistent productivity. Assisted with insurance claim reviews and data entry for billing systems Shadowed revenue cycle teams to understand turnaround times and policy application Supported database updates and administrative tasks with attention to detail Learned to navigate EMR systems and healthcare documentation standards Promote department services by assisting customers, handling inquiries, processing registrations, and gathering feedback on their online shopping experience.
Maintain a safe, organized workspace by following procedures, managing displays, handling merchandise, and completing necessary documentation.
Fulfill customer orders accurately by locating, packaging, and substituting products when needed, and ensuring satisfaction. Executed accurate order fulfillment processes, ensuring timely delivery and maximizing customer satisfaction. Responsible for assisting with the complete operations of the assigned store, in conjunction with assigned tasks and duties. Assist in the merchandising of the store.
Fully cross-trained to assist with cash register operations, customer service, and stock replenishment. Worked alongside team members to streamline stock replenishment processes, ensuring shelves remained well-stocked and enhancing customer satisfaction.
Capable of accessing information about market conditions and communicating it to customers. Understands spoilage and supply waste and how it affects department profits. Strong with excellent communication skills and a willingness to work as part of a team. Ability to meet customer service expectations and standards in all interactions with customers, vendors, and Team Members. Ability to follow directions and procedures, effective time management, and organizational skills. Streamlined inventory management processes, reducing spoilage and enhancing profitability in the department. Implemented efficient production workflows, leading to noticeable gains in output and improved team productivity. EDUCATION
MASTER OF SCIENCE IN DATA SCIENCE Sep 2022 - Aug 2024 University of Michigan-Dearborn
BACHELOR OF SCIENCE IN BIOMEDICAL ENGINEERING Aug 2018 - May 2021 University of Illinois Chicago
SKILLS
Microsoft Excel, Access, Outlook, PowerPoint, Understanding of turnaround times and remote task management, Multitasking and time management, Team-oriented with independent work capability, Quick learner, open to training and new tools.
ADDITIONAL INFORMATION
CUSTOMER SEGMENTATION ANALYSIS
Data Analysis Project
INSTACART MARKET BASKET ANALYSIS
Data Analysis Project
Led customer segmentation analysis using K-means clustering, identifying four distinct customer segments and driving a 25% increase in targeted marketing campaign effectiveness. Conducted in-depth analysis of customer behavior and preferences to uncover actionable insights. Developed and implemented personalized marketing techniques based on customer segment profiles. Increased customer satisfaction and loyalty, measured by Net Promoter Score (NPS) and repeat purchase rate. Leveraged market basket analysis and machine learning techniques to optimize customer shopping behavior, resulting in a 15% increase in average basket size.
Conducted association rule mining to identify frequent itemsets and product affinities. Cleaned, analyzed, and visualized data using Tableau and machine learning algorithms. Extracted actionable insights to support data-driven decision-making.