Supporting the Business Intelligence team by managing and analyzing complex datasets related to campus parking operations (e.g., tickets, permits, validations, financial records, geolocation data). Writing and optimizing SQL queries to generate custom reports and visualizations in Power BI for various departmental needs. Working with XML data exports from AIMS (parking management system), performing data audits, reconciling inconsistencies, and ensuring data integrity across systems. Collaborating with different parking teams to deliver tailored insights and improve data transparency across operational units.
Technologies Used: AIMS, Excel, SQL, XML, Python, Power BI
Managing applicant and student data for the IQ Biology Admissions department with a focus on workflow optimization, accuracy, and efficiency. Handling data cleaning, transformation, and validation using Excel and SQL, while transitioning legacy reporting workflows to Power BI. Supporting internal stakeholders with visual analytics dashboards for both prospective and current student data. Assisting with website maintenance and development tasks to streamline access to resources for students and faculty.
Technologies Used: Data Management, Excel, SQL, Power BI
Provided front-line customer service in various roles at the Athletics dining hall, including barista, checker (entrance point validation), food service server, and dishwashing attendant. Ensured compliance with food safety standards and maintained a clean and welcoming dining environment. Gained hands-on experience in team coordination, customer interaction, and fast-paced service delivery.
At Excelerate, I took the lead in elevating how data was analyzed, interpreted, and acted upon across campaigns. By combining tools like Python, SQL, Tableau, and Looker Studio, I built scalable solutions that automated reporting and delivered real-time insights to stakeholders. I also architected data cleaning pipelines using pandas and SQL, which significantly improved dataset reliability. Beyond technical execution, I managed a large team of interns—over 300 across cycles—mentoring them in best practices for analytics and visualization. My work often bridged business and technical teams, helping translate high-level marketing goals into actionable data products. A major focus was predictive modeling to fine-tune segmentation strategies, which led to measurable uplifts in application rates. I also introduced structured A/B testing to validate campaign decisions with statistical rigor, ensuring that insights were informative and actionable.
Technologies Used: Python, SQL, Tableau, Looker Studio, PostgreSQL, Excel
As a Software Engineer at TCS, I managed over 360,000 data records per cycle by optimizing data processing systems through Java and SQL in an Agile/Scrum environment. I contributed to the development and maintenance of end-to-end data integration solutions with third-party systems, APIs, and databases, leveraging Dell Boomi connectors and custom scripting for seamless data flow. My role also involved deploying Master Data Management (MDM) solutions to ensure data consistency, integrity, and quality across multiple systems and business units.
Technologies Used: Java, SQL, Dell Boomi, Agile/Scrum