Raghav Raheja Email & Phone Number

Toronto, On, Ca

Toronto, On, Ca

Ontario, Canada

Emerge Partner at Cisco SystemsIn my role as a Business Analyst, I thrive on turning complex data into meaningful insights that drive business decisions. Whether it's designing Power BI dashboards for real-time sales performance or automating workflows with Power Automate and PowerBI dataflows. From extracting and cleaning large datasets to building seamless ETL processes, I ensure data accuracy and deliver results that matter.I’ve had the opportunity to work closely with global teams across EMEA, APAC, and AMER, supporting them with tailored insights and ad-hoc reporting. One of my proudest achievements was developing a new strategy to track changes in deals over time, which I then automated to ensure seamless monitoring and reporting. This solution not only improves data accuracy but also saves significant time for the team by eliminating manual tracking.I love the challenge of improving processes and creating data-driven solutions that empower teams to work smarter. Constantly learning and adapting, I’m always on the lookout for better ways to deliver high-value insights while maintaining the integrity of the data.

As a Lead Associate, I excelled at managing and analyzing complex datasets to drive impactful decision-making. I led the data management efforts for a $16 million philanthropic fund, ensuring accurate data processing and delivering detailed insights to senior leadership, empowering them to make informed decisions. I also designed and implemented an efficient ETL framework, building a solid data infrastructure that streamlined internal workflows and boosted operational efficiency.Beyond technical execution, I played a key role in guiding the organization toward the adoption of new technologies, leading to their successful integration into daily operations. I’m particularly proud of the capacity-building initiatives I organized, which significantly enhanced the organization’s ability to manage data and generate insightful analyses.

(Anti Money Laundering) AML Database Administrator - Managed the (Extract, Transform, Load) ETL process and provided ad-hoc query resolution to a major food and agriculture-business company. Technology - SQL, Tableau, SQL Server Data Tools (SSDT), Microsoft Excel Data Forensics Diagnostic Analysis - Reviewed Anti Money Laundering (AML)/Fraud detection scenarios for a major credit card provider in India.Technology - Python, Microsoft Excel, VBA, SQL

I was responsible for reviewing the literature on AI technologies utilized in journalism and conducting investigations into their potential impact on the daily work of journalists. I analyzed the implications of these technologies for the industry, considering factors such as efficiency, accuracy, and ethical considerations. Additionally, I participated in interviews with journalists to gain valuable insights into how the COVID-19 pandemic affected their daily routines and how they addressed the challenges of remote work. By combining research, analysis, and firsthand interviews, I contributed to a comprehensive understanding of the evolving landscape of journalism and the ways in which technology and external circumstances shape the industry.

United States

In my role, I was responsible for recruiting participants for gig economy research and conducting semi-structured interviews to gain valuable insights into their work experiences, challenges faced, and strategies employed to overcome them. I collaborated with industry experts to develop comprehensive interview guides and templates for data collection using Qualtrics, ensuring a thorough and comprehensive capture of relevant information. By combining effective participant recruitment strategies with well-designed interview protocols, I facilitated the acquisition of rich and insightful data that contributed to a deeper understanding of the gig economy and its dynamics.

Syracuse, New York Area

Played a crucial role in helping a nonprofit organization transition from MS Access to Salesforce for its database management. By mapping data tables and customizing Salesforce to meet their specific needs, ensured a seamless migration process. Additionally, I developed a comprehensive reporting mechanism tailored to each user, empowering the organization to make data-driven decisions. Through these efforts, the nonprofit successfully enhanced its data management practices, streamlined operations, and achieved its mission of making a positive impact in the community.

United States

I employed a combination of Dedoose software and Python to conduct qualitative analysis on interview scripts. By utilizing thematic analysis, I was able to identify recurring patterns and trends in the data. Additionally, I used Python for topic modeling and clustering analysis, which helped reveal common trends within the dataset and establish connections with theories from relevant journals. Furthermore, I participated in ideation sessions to generate intriguing research topics for future work, including the examination of AI's impact on work, the identification of essential skills for the future, and so on.

United States

In a comprehensive investigation of warranty expenses, I utilized advanced analytical techniques to identify root causes and patterns. Based on the findings, the team recommended effective mitigation strategies. By implementing the Lean Six Sigma DMAIC methodology, which involved defining, measuring, analyzing, improving, and controlling processes, the team successfully reduced warranty expenses and improved the repair process. This led to a remarkable 54% enhancement in overall performance.

Mumbai Area, India

As a data analyst, my responsibilities included collaborating with various social sector organizations to enhance their data management processes. I actively participated in designing data collection tools and conducting impact measurement studies, from data collection to presenting analysis to senior leadership. One of my notable achievements was improving the efficiency of ongoing data-capturing processes by approximately 40% through the development of a customized automation tool in MS Excel, tailored to the specific business process outcomes. Additionally, I pioneered the implementation of an SQL-like database in Excel, improving data collection and retrieval procedures while eliminating the need for new technology. This innovation provided a user-friendly solution and significantly improved overall data management processes.

My role encompassed collaborating with industry experts to gain a deep understanding of the social sector and the intricacies of working with unstructured data. I actively participated in cleaning and transforming data, utilizing Microsoft Excel to create visually engaging and informative visualizations. By leveraging my collaboration with industry experts and employing Excel's capabilities, I ensured that data was presented in a clear and insightful manner, aiding in effective analysis and decision-making processes.

Master'S Degree, Information Management

Activities and Societies: Graduate Student Mentor

Certificate Of Advanced Studies (Cas), Data Science

Bachelor Of Technology (B.Tech.), Computer Science

Activities and Societies: Placement Committee, Model United Nations Society

Xii, Science

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