As a Financial Data Analyst at May Davis Partners, I was dedicated to optimizing the financial data processes. My role involved synthesizing pivotal reports via Python, which significantly enhanced our decision-making framework. I was also at the forefront of incorporating AI-driven strategies, aimed at refining our client interactions through personalized and automated communications. My goal was to seamlessly merge technology with financial expertise, ensuring that we deliver unparalleled value to our clients while maintaining operational efficiency.

As a Capstone Student Consultant at Duke Health, my primary role centered around the in-depth analysis of reimbursement data to strengthen radiology procedures' strategic approach. Leveraging tools like SQL, R, and Tableau, I designed dashboards that illuminated the denial rates, providing actionable insights. Furthermore, my commitment to innovation led me to utilize sophisticated statistical methods and machine learning models, including regression, Lasso, and Random Forest, to enhance the accuracy of our denial rate predictions. Beyond the technical aspects, I took pride in guiding a dedicated team of 5, ensuring we consistently met our objectives and contributed meaningful value to the organization.

As a Consultant at KPMG in the Business Consulting team of the Advisory unit, I was responsible for proposals in the sectors that had a mix of business and technology. Along with that, I was managing Phase 2 of a project (Project Coal Planning and Procurement Tool), for one of India's top Aluminum companies. I gained credibility with the client during Phase 1 of the project and managed to convince the client to go for Phase 2 of the project.

As an Associate Consultant at KPMG, I was supposed to work on Strategy Projects for the Business Consulting team. I was assigned to work on Project Coal Planning and Procurement Tool but soon after I started, one of my seniors left KPMG and I had to fill up their shoes. I used Optimization Engines and third-party experts to implement Coal Planning and Procurement Tool for one of India’s top aluminum companies, for which I received the “Super Employee” award. I also helped build an auction-assistance tool based on the processing of historical client data.

As an Analyst, I was responsible for helping out seniors in the department with anything and everything. I did primary and secondary research, data analysis and gathering, worked on proposals to clients, and developed a Thought Leadership before finally starting work on Project Coal Tool.

At SPartan Solutions, my team and I capitalized on the power of Embedded Systems and the Internet of Things (IoT) to enhance the operational efficiency of power electronic systems. Our approach involved continuous monitoring of the machine's Key Performance Indicators (KPIs), and transmitting this valuable data to the cloud. This continuous influx of data allowed us to identify specific patterns and trends. By leveraging predictive analytics, we could accurately forecast potential system failures, thus significantly reducing system downtime.As for my specific responsibilities, I spearheaded the design of the circuit board and programmed the operating system of the microprocessor. This involved implementing protocols to send collected data to the Internet, enabling precise failure predictions. Additionally, I broadened my role to encompass Business Development and Insights. In this capacity, I sought to explore new avenues for the application of our technology, as well as gain a deeper understanding of our market and the evolving needs of our clientele.