Neville Vaz

MResult is a leading data & analytics intelligence technology solutions provider to companies that value insights from information as a competitive advantage.

• Modernizing legacy reports into user-friendly dashboards using SAP Business tools, enhancing data accessibility and stakeholder experience by reducing the refresh time by 70%.
• Played a role in establishing and implementing rigorous testing protocols for reliable, which reduced the rate of errors by 85%.
• Supported project teams in creating impactful presentations, effectively communicating complex data insights to diverse audiences. Gained experience tailoring presentations to address client concerns and priorities, fostering collaboration and engagement.
• Mastering data visualization best practices to improve business understanding. Ensuring data accuracy and seamless integration from external sources.

At Mresult Services, I contributed to a two-person team tasked with upgrading a client's machine learning model. Leveraging Python and Microsoft Excel, we successfully improved its accuracy by 2% under the guidance of our mentors. My primary responsibilities included data visualization, chart creation for insightful data communication, and presenting findings through impactful presentations. This internship offered invaluable learning opportunities, deepening my understanding of real-world industry practices.

skills I acquired and improved during the internship:

• Data Visualization: Skilled in creating clear and effective visuals using best practices and tools like Python, Excel, and Tableau.
• Data-Driven Communication: Adept at tailoring complex data insights for diverse audiences through compelling presentations and visualizations.
• Technology Exploration: Expanded knowledge of data visualization techniques and explored additional tools like Power BI, R, and various machine learning models under mentor guidance.
• Team Player: Thrived in collaborative environments, effectively contributing to shared goals and learning from others.
• Organized and Timely: Skilled in juggling multiple tasks, prioritizing critical activities, and consistently meeting deadlines.
• Analytical Problem Solver: Strong ability to identify and solve data-related challenges through critical analysis, extracting valuable insights and driving solutions.