Jun 2025 – Nov 2025 · 5 mos

• Developed and automated Power BI dashboards to monitor staff chart audits, improving visibility of compliance and reducing deficient charts by 30% within 3 months.
• Tracked staff performance on chart audits and collaborated with supervisors to address deficiencies of ≥75%, leading to a 25% increase in staff accuracy and efficiency.
• Analyzed patient scheduling data using SQL, NextGen, and Excel to identify trends, helping to maximize appointment utilization by 20% and reduce cancelled appointments by 15%.
• Designed actionable reports for leadership to proactively fill appointment gaps, improving patient access and boosting scheduling efficiency by 18%.
• Managed and analyzed large, complex datasets (100K+ records) to generate insights that optimized healthcare operations and resource allocation.
• Built advanced Excel models (pivot tables, lookups, macros) to streamline reporting processes, reducing manual effort by 40% and increasing reporting speed.
• Partnered with program managers and supervisors to deliver data-driven recommendations that improved staff training effectiveness and enhanced patient care outcomes.

Jul 2024 – Jun 2025 · 11 mos

• Convert and transform data streams into Excel for detailed analysis and reporting.
• Create presentable and interactive visualizations of data in Excel, ensuring clarity and accessibility for stakeholders.
• Ensure data transformation rules are applied correctly by validating processes and using SAS for statistical analysis and advanced data manipulation.
• Collaborate with users and stakeholders to confirm data transformations align with business requirements and provide insights using Onestream for financial consolidation and reporting.
• Utilize Power BI to build dynamic dashboards and reports, enabling real-time data visualization and decision-making across multiple business units.
• Perform complex data analysis and validation, integrating data from multiple sources into cohesive reports and presentations.

Jul 2024 – Jun 2025 · 11 mos · United States · Hybrid

• Convert and transform data streams into Excel for detailed analysis and reporting.
• Create presentable and interactive visualizations of data in Excel, ensuring clarity and accessibility for stakeholders.
• Ensure data transformation rules are applied correctly by validating processes and using SAS for statistical analysis and advanced data manipulation.
• Collaborate with users and stakeholders to confirm data transformations align with business requirements and provide insights using Onestream for financial consolidation and reporting.
• Utilize Power BI to build dynamic dashboards and reports, enabling real-time data visualization and decision-making across multiple business units.
• Perform complex data analysis and validation, integrating data from multiple sources into cohesive reports and presentations.
• Convert and transform data streams into Excel for detailed analysis and reporting. - Create presentable and interactive visualizations of data in Excel, ensuring clarity and accessibility for stakeholders. - Ensure data transformation rules are applied correctly by validating processes and using SAS for statistical analysis and advanced data manipulation. - Collaborate with users and stakeholders to confirm data transformations align with business requirements and provide insights using Onestream for financial consolidation and reporting. - Utilize Power BI to build dynamic dashboards and reports, enabling real-time data visualization and decision-making across multiple business units. - Perform complex data analysis and validation, integrating data from multiple sources into cohesive reports and presentations.
• Skills: Microsoft Excel · OneStream · Data Visualization · Microsoft Power BI · SAS (Programming Language)

Jan 2023 – Jul 2024 · 1 yr 6 mos · United States · On-site

• Analyzed healthcare data of 8,000,000 to identify trends, patterns, and anomalies, providing insights to improve performance and optimize revenue generation strategies
• Developed and maintained analytical models to forecast revenue and monitor key performance indicators (KPIs), ensuring accuracy and reliability of financial data
• Conducted in-depth data analysis using SQL, Excel, and business intelligence tools such as Tableau and Power BI, visualizing findings through reports and dashboards
• Performed statistical analysis of patient data, leading to the discovery of insights that improved patient care outcomes by 10%.
• Achieved a 12% increase in revenue through the implementation of data-driven pricing strategies
• Collaborated with 2 different teams to reconcile revenue data, resolve discrepancies, and ensure accurate financial reporting

Sep 2022 – Dec 2022 · 3 mos · United States

• ● Provided solutions to predict 7 different categories of food items using Machine Learning algorithms with an accuracy of 83.54%
• ● Performed data cleaning and exploration for internal and external audits
• ● Implemented data preprocessing, EDA and algorithms such as Naive Bayes, SVM and Logistic Regression over the huge dataset of 4,000,000 rows
• ● Articulated DTD reports by coordinating with 3 cross-functional units and maintaining communication, thus, eliminating bottlenecks
• ● Liaised with DevOps team to integrate business intelligence assets into future development lifecycles
• ● Participated in brainstorming meetings to develop marketing collateral

May 2022 – Aug 2022 · 3 mos · United States

• ● Generated 6 Entity Relationship Diagrams for the huge Adroit Database
• ● Suggested a new feature using SQL where users can enter their trade ID and get their execution audit report generated, thus increasing user efficiency by 50%
• ● Ingested 2,000,000 records into a data frame, performed visualization and generated reports using Power BI and Advanced Excel
• ● Provided technical support for troubleshooting analytics and reporting issues
• ● Assisted with life cycle inventory analysis and management by helping with data gathering
• ● Informed financial decisions by analyzing financial information to forecast business, industry or economic conditions
• ● Analyzed data to uncover insights and identify key opportunities to inform strategic decisions

Mar 2018 – Jul 2021 · 3 yrs 4 mos · Delhi, India

• ● Analyzed student demographic and academic data to save the cost of the organization by 8% using Tableau and Microsoft Excel
• ● Visualized student’s feedbacks and implemented new strategies, resulting in an improvement of 9% in the area of Marketing & Sales
• ● Structured numerous knowledge transfer documents for future reference
• ● Collaborated with the finance department to uncover revenue efficiencies among top clients to maximize opportunities to up-sell products and services
• ● Assisted data team with analysis of client's business operations to uncover areas of improvement and implement solutions to address future growth and requirements
• ● Worked with the marketing department to implement new and innovative ideas for digital marketing engagement to increase instagram engagement from 5k to 13.7k in 3 months
• ● Prepared persuasive sales and marketing presentation and ran various campaigns to engage clients and increase sales
• ● Leveraged Tableau in analysis of services and strategies provided by competitors to support development and implementation of differentiated marketing plans.
• ● Formulated knowledgeable forecasts for business, industry and overall economic conditions based on available financial information
• ● Prepared accurate and timely collection reports, facilitating measurement, decision-making and engagement with customers