1) Supervising a subsidy package on food items, catering to 39.6 million individuals enrolled in the Benazir Income Support Program (BISP) in Pakistan, offering a 30% subsidy during the holy month.2) Managing data collection efforts spanning 156 districts nationwide via field surveys to ensure effective monitoring of the program's implementation, guaranteeing access to quality food items through 5939 Utility Stores, 1,200 mobile points, and 300 permanent package relief centers.3) Spearheading the analysis and dashboard creation process, utilizing field data gathered through online surveys, to facilitate stakeholders in making informed decisions and enabling direct interventions at identified locations throughout the country.

1) Planning, designing, and delivering comprehensive workshops on data literacy for civil servants of the federal government, enhancing their analytical capabilities and empowering informed decision-making.2) Playing a pivotal role in elevating the data analysis proficiency of federal government employees through hands-on workshops, fostering a culture of informed decision-making and efficiency.3) Spearheading the development of innovative workshop modules focused on data literacy and analysis, tailoring content to the unique needs of civil servants, resulting in measurable skill enhancement and increased data-driven decision capabilities.

1) Conduct in-depth economic research and analysis to provide recommendations and insights for the formulation and evaluation of government economic policies.2) Collaborate with various government agencies and stakeholders to assess the potential impact of policy proposals on the national economy and make data-driven policy recommendations.3) Monitor and analyze economic trends, market conditions, and international developments to inform government decision-making and support the development of effective economic policies.4) Conducting financial investigations specialized in uncovering various financial crimes, including Trade-Based Money Laundering (TBML), hoarding, smuggling, tax evasion, terror financing, digital currency forensics, asset tracing, insider trading, Ponzi schemes, identity theft, corruption investigations, mortgage fraud, cybercrime, securities fraud, and embezzlement.

1) Monitored and Quantified Long-term socio-economic benefits for applicants in CCAC’S 18-month Nursing program.2) Executed Data science and statistical modeling techniques in Python, to Analyze de-identified quarterly incomes, and social assistance enrollment statuses for applicants. This data was provided by Allegheny County’s Department of Human Services (DHS).3) Coded Machine Learning pipeline procedures, including Data Cleaning, Data Pre-processing, and Feature Selection on unstructured admissions records obtained from CCAC.4) Coded and executed regression modeling by building wage trajectory models using Python’s stats model library.5) Designed and programmed a customized Propensity Score Matching Algorithm, to identify comparable Treatment Groups and Control Groups for result validation. 6) Created a personalized algorithm using Hazard-Modelling principles, to show the decrease in reliance on Social Assistance Programs such as SNAP and Medicaid for those in the treatment group.7) Provided Recommendations to CCAC to expand their nursing program after reporting an on average statistically significant $160,000 cumulative gain in income per applicant, spanning seven years, for those in the treatment over the control group.8) Led the team of four students and ensured timely submission of all the deliverables while establishing efficient communication with the Project Advisor, Coordinator, Heinz College Liaison Office, and CCAC Team

1) Reviewed and assessed the quality reporting standards of a $450M Medicaid Behavioral Health Program (BHP) and identified key parameters of interest for the Ombudsman Office, ensuring compliance with state and federal laws.2) Designed a database model to facilitate the registration of complaints and grievances from Behavioral Health Program beneficiaries. Seamlessly integrated this database with an existing database serving 2.5 million members for comprehensive analysis and created a user-friendly Tableau dashboard for real-time monitoring of complaints and grievances.3) Developed sustainable strategies to actively involve the community in long-term mental health recovery efforts while focusing on enhancing inclusivity to maximize the long-term value of mental health programs and investments.

1) Analyzed impacts of Rs. 24 billion worth subsidies of wheat on poverty level of 0.1 billion population of the biggest province of Pakistan - Punjab2) Collected feedback of 10,000 people dwelling in poverty prone pockets through field surveys 3) Evaluated delivery mechanism of subsidy with an emphasis on enhancing efficiency which saved a cost of around Rs. 3 billion

1) Identified changing skill set requirements of 3 destination countries 2) Prepared feasibility plan for establishment of 20 Technical Training Institutes in Pakistan 3) Collaborated in devising policies for Government of Pakistan which were instrumental in enhancing skills of around 3000 human resources

1) Participated in developing a sustainable local government system in 36 districts of Punjab 2) Examined issues in revenue generation domain of these local governments3) Advised key policy corrections for enhancing revenue generation ability of local governments which caused an increase of 20% in per annum revenues

1) Aided senior policymakers in devising strategies for identifying estimated wheat and sugar cane production on 10.81 million hectares area in Punjab, Pakistan2) Prepared field monitoring reports and suggested policies helping in containing wheat and sugar crisis 3) Remodeled wheat procurement mechanism with emphasis on redefining commodity safety stock requirements as per guidelines of world bank

Assistant Director, Research and Analysis1) Conducted research to highlight the tax evasion tricks being practiced by businesses 2) Highlighted the weaknesses of the tax regime being exploited by businesses 3) Proposed measures which improved tax collection from businesses by 10%

1) Learned methods of conducting technical analysis of different economic sectors 2) Participated in generating forecasting reports3) Helped investors in making suitable investment decisions.