• Performed Data Analytics to optimize pricing strategy for various clients and determine collection risk and monetary loss in trial setting for the corporate clients.• Digitized and index documents by clients and automate data management process to improve efficiency.• Configured software to analyze and calculate alimony amount and spousal support to be paid by the clients in family court.• Led document management to eliminate duplication, error and maintain reference for quick… Show more • Performed Data Analytics to optimize pricing strategy for various clients and determine collection risk and monetary loss in trial setting for the corporate clients.• Digitized and index documents by clients and automate data management process to improve efficiency.• Configured software to analyze and calculate alimony amount and spousal support to be paid by the clients in family court.• Led document management to eliminate duplication, error and maintain reference for quick access and confidentiality.• Led communication management to triage and route calls, take messages and schedule call backs, facilitate meetings, and take minutes.• Prepared internal memos and other correspondence for dissemination to keep all stakeholders informed of constant changes in the legal environment Show less

• Analyzed data from Health Management System (HMS), defined KPIs, developed scorecards to rank primary health centers.• Queried HMS database to measure Infant Mortality Rate and Maternal Mortality Rate, developed high-impact dashboard using advanced Excel to visualize KPI trends and drivers.• Collaborated with various departments to understand, analyses, and articulate data and reporting requirements.• Optimized data collection procedures and generated reports on a weekly, monthly,… Show more • Analyzed data from Health Management System (HMS), defined KPIs, developed scorecards to rank primary health centers.• Queried HMS database to measure Infant Mortality Rate and Maternal Mortality Rate, developed high-impact dashboard using advanced Excel to visualize KPI trends and drivers.• Collaborated with various departments to understand, analyses, and articulate data and reporting requirements.• Optimized data collection procedures and generated reports on a weekly, monthly, and quarterly basis.• Used descriptive statistics such as correlation, clustering, and linear regression to measures central tendency and estimate various health parameters. • Oversaw monthly and quarterly closing, analyzed annual expenditures against budget, explained variances. submitted financial statements to the Head Office Show less