Worked on the development of TARP (Target Automation and Recommendation Platform) project, a core component of the AdGenie system.• Contributed to the development of an end-to-end workflow for ad target management in Amazon Advertising.• Implemented automated ad target categorization using LLMs and machine learning techniques.• Integrated API calls to replace manually exported data, enhancing the system's efficiency and real-time capabilities.• Participated in user acceptance testing and optimization of the TARP notebook.

• Developing an empirical framework to analyze the welfare implications of fairness regulations in the French auto insurance market.• Integrating fairness-aware machine learning with microeconomics to assess the welfare implications of fairness and accountability regulations in the insurance sector, focusing on consumer and societal impact.

• Created project monitoring dashboards which involved design and development on Microsoft Power BI to monitor weekly progress in real-time on various parameters as defined under project requirements.• Monitored dashboards for two government-based projects; Ontario Connect (based in Canada) and ICT & Dashboard Monitoring for Dighi Port Industrial Area (DPIA) (based in India).• Ontario Connect: Created a real-time project monitoring dashboard to portray project performance using key performance indicators and identified project delays to enable proactive action.• ICT & dashboard monitoring for DPIA: Utilized program, project, information management tools and applications for the Programme Manager for New Cities to monitor the progress and deliverables with respect to project planning, scheduling, risk and resource management, procurement and contract management, administration, and management reporting functions.

• Engaged in a collaborative effort with a team to assess data gathered by GlobalShala's marketing department pertaining to advertisement campaigns. Employed MS Excel for visualizing the data, utilizing metrics such as click-through rates, conversion rates, impressions, engagement, and the performance evaluation of diverse advertising platforms.• Extracted actionable insights from a variety of advertising platforms to uncover crucial sale trends contributing to informed decision-making.

• Created a Tableau dashboard for analyzing electricity operations and breakdown types within selected divisions of the city of New Delhi, which demonstrated yearly and monthly electricity breakdown trends.• Leveraged Tableau to streamline analysis effort by providing better visualization techniques, minimizing analysis time, and enhancing overall efficiency for business intelligence processes.• Utilized data from the IOMS (Intelligent Outage Management System), which is designed to record all types of electrical outages, their location, elements affected, outage restoration time, etc.

• Presented insights from the year 2020-21 for 5 aspirational districts within Rajasthan. Derived from application survey reports and the comprehensive UDISE+ dataset, the analysis offered an inclusive overview of all registered schools across India.• Leveraged the use of MS Excel to examine the outcomes achieved under the Transformation of Aspirational Districts Programme (ADP), initiated by the Government of India in 2018. The initiative is anchored by NITI Aayog.• Within the scope of 112 nationwide Aspirational Districts, the project focused on five districts in Rajasthan: Baran, Jaisalmer, Sirohi, Dhaulpur, and Karauli. The analysis identified these districts as the top performers in Rajasthan's educational sector, with Dhaulpur emerging as the leading district.