• Developed a robust linkage algorithm using fuzzy matching and machine learning to reconcile Medicaid provider metadata, enhancing data accuracy and ensuring data quality.• Queried large-scale Medicaid and Medicare datasets (terabytes) to identify inconsistencies and detect potential fraud by creating program specifications using SQL and SAS.• Built an interactive VBA dashboard with Pivot Tables to analyze Medicaid enrollment, usage trends, and provider billing patterns and validated… Show more • Developed a robust linkage algorithm using fuzzy matching and machine learning to reconcile Medicaid provider metadata, enhancing data accuracy and ensuring data quality.• Queried large-scale Medicaid and Medicare datasets (terabytes) to identify inconsistencies and detect potential fraud by creating program specifications using SQL and SAS.• Built an interactive VBA dashboard with Pivot Tables to analyze Medicaid enrollment, usage trends, and provider billing patterns and validated results using proc SQL.• Classified dual beneficiaries by merging Medicare and Medicaid data, summarizing characteristics across different time intervals and presented through verbal communication and correspondence. Show less

- Working under Center for New Economy and Inequality(CNEI) to study policy outcomes and generate solutions to problems regarding inequality in South Asia - Reviewing policy and literature, publishing briefs and working on a compendium about inequality within educated population in Nepal

Responsibilities:- Draft policies, propose legislation, and publish articles on cybersecurity awareness for the vulnerable- Create a cyber resource libraryGoal:- Improve cybersecurity and data privacy for older adults through advocacy, education, and innovation to further protect all parts of society from cybercrime.

- Working to build an administrative database hosted by CISER, Cornell University, that matches client records from the Food Bank of the Southern Tier (FBST) with New York State SNAP, TANF and WIC benefit records using recordlinkage package in PythonGoal:- Clean, merge and describe FBST and NY state SNAP, WIC and TANF data- Merging public and private food assistance data using probabilistic matching protocol and de-identifying data for analysis about dynamics of food insecurity… Show more - Working to build an administrative database hosted by CISER, Cornell University, that matches client records from the Food Bank of the Southern Tier (FBST) with New York State SNAP, TANF and WIC benefit records using recordlinkage package in PythonGoal:- Clean, merge and describe FBST and NY state SNAP, WIC and TANF data- Merging public and private food assistance data using probabilistic matching protocol and de-identifying data for analysis about dynamics of food insecurity and participation of households in food assistance programs- Set goals to analyze usage patterns of public and private food assistance to improve service delivery tofood insecure families in New York State and nationwide Show less

Goal:- Create an open-source tool for evaluation of competitiveness in the non-profit sector at the metro level using data from National Center for Charitable Statistics(NCCS) data archive- Built a Competition and Life-Cycle dashboard using R-shiny, to illustrate the competition in the non-profit sector in Metropolitan Statistical Area(MSA) and industry sub-sectors across United States using fiscal health and competition metrics- Wrote a R-package - npcompete, that measures… Show more Goal:- Create an open-source tool for evaluation of competitiveness in the non-profit sector at the metro level using data from National Center for Charitable Statistics(NCCS) data archive- Built a Competition and Life-Cycle dashboard using R-shiny, to illustrate the competition in the non-profit sector in Metropolitan Statistical Area(MSA) and industry sub-sectors across United States using fiscal health and competition metrics- Wrote a R-package - npcompete, that measures competition intensity at metro and industry level for a given period of time- Created visualizations of organizational deaths and births in the non-profit sector- Predicted which organizations are experiencing financial vulnerability with a risk of demise within a given period- Created a R package: Nonprofit Sampling tool - which matches (nonprofit name + geography) to a database of nonprofits using fuzzy matching allowing for the variance in organizational name and returns organizations in a ranked order by match, as well as the metadata for additional filtering. - Created a Web Scraping tool to generate large-scale database of systematically collected texts about nonprofits gathered from the URL's listed in IRS archives. Show less

- Developed Python Scripts using Paramiko SSH for automation of APC-UPS network commands on ip-addresses remotely through Secure Shell. Automated parsing and stored the ip-addresses chronologically. - Configured and installed wireless Access Points, network switches, device drivers and UPS as well as assisted in designing network architecture and troubleshooting network issues using SolarWinds helpdesk.

- Handled online communication of the business - Ensured proper transfer of receipts and invoices and reported to the Account Department- Summarized inquiries and quotations and chronologically recorded all information

- Worked in development of School Management Android app specifically Layouts using Fragments and Views- Actively involved in debugging using the Android Studio debugger

- Worked as a tutor of more than 20 Cambridge A-Level students for Economics and Mathematics- Helped the students with economic data analysis and interpretation- Monitored students' progress and helped them prepare for final exams

- Closely tutored a student of Cambridge GCE A-Levels for exam preparation