Ottawa, Ontario, Canada
My internships have equipped me with practical experience in developing and presenting solutions. At Tech Mahindra, I delivered a presentation on weather prediction methods and contributed to building weather sensors using Arduino and Python integration. Moreover, my role as a Teaching Assistant at Carleton University has strengthened my communication skills and ability to guide others in their learning journey. The projects I have undertaken, such as the Elevator System, Hotel Reservation System, and Web-Based Bookstore Management System, demonstrate my problem-solving skills and capacity to deliver user-friendly, efficient solutions. My recent project involving testing a Crazy 8 card game with Selenium underscores my commitment to ensuring the quality and reliability of software. My passion for technology extends beyond academia; I have been part of soccer intramurals and have initiated innovative projects such as a sound-based fire extinguisher. These experiences reflect my dedication to teamwork, creativity, and excellence.
• Manage accounts receivable processes, including tracking outstanding balances and ensuring timely collections • Process and analyze customer rebates, ensuring accuracy and alignment with pricing agreements • Build and maintain Power BI dashboards to monitor revenue, receivables, and pricing performance • Analyze financial and operational data to identify trends, gaps, and improvement opportunities • Support business decisions by providing clear, data-backed insights on pricing and revenue • Work with cross-functional teams to resolve discrepancies and improve financial processes • Continuously look for ways to automate reporting and improve efficiency using data tools
• Gathered data from various sources, including transactional databases, CRM systems, and marketing platforms. • Cleaned, pre-processed, and integrated data to ensure accuracy and consistency for CLV calculations. • Developed data pipelines to automate data extraction and transformation processes. • Designed, implemented, updated and maintained models to calculate Customer Lifetime Value based on historical purchase data, customer behaviour, and engagement metrics. • Segmented customers based on their CLV, purchase frequency, and engagement levels. • Analysed CLV across different demographics, geographies, and product categories to identify high-value customer segments.
• Taking Python tutorial sessions for 1st Year Computer Science students • Conduction office hours to help students clear doubts regarding any topic • Marking tutorials and quizzes for the term
• Analysed customer data using SQL to identify key segments and target profiles, increasing campaign ROI by 20%. • Designed and implemented PowerBI dashboards for visualizing customer segments and profiling data. • Utilized Tableau to create interactive reports that provided insights into customer behaviours and preferences. • Conducted market research and data analysis to support segmentation strategies. • Collaborated with marketing teams to develop targeted campaigns based on customer profiles. • Provided data-driven recommendations to improve customer acquisition and retention strategies.
• Responsible for creating and managing a website on pest management. • Enhanced an agricultural space project website to make it more user friendly.