Data Science Intern | Industrial Training

February 2025 - May 2025

Community Builder (AI Engineering) | Volunteering

March 2025 - Ongoing

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Student Ambassador | Volunteering

October 2023 - February 2025

• Built a strong tech community, fostering collaboration and networking among students, professionals, and industry experts.
• Acted as a bridge between students and Microsoft, introducing them to learning resources, certifications, and industry trends.
• Led three collaborative projects, showcasing real-world applications of Microsoft technologies. These projects gained industry recognition and were adopted by experts.
• Worked with over 3,000 student ambassadors globally, guiding them in technology, career development, and hands-on learning.
• Organized 10+ hackathons, providing students with opportunities to solve real-world challenges and improve their problem-solving skills.
• Conducted 100+ cloud skill challenges, helping students gain hands-on experience with cloud computing and Microsoft technologies.
• Hosted 50+ technical workshops, covering topics like AI, data science, and cloud computing etc.

Software Engineer Fellow

April 2024 - September 2024

• Worked with different teams to add new features, making product launches 15% faster and boosting user engagement by 35%.
• Built scalable software, improving system performance by 25% and cutting load times by 30%.
• Reviewed code and maintained coding standards, reducing system errors and ensuring best practices.
• Developed a Market Trends dashboard, helping businesses analyze sales data with clear insights and visuals.
• Created "Pantry Tracker," an AI-powered inventory management system to track and manage stock efficiently.

Corporate Venture Capital & Business Analytics Intern | Internship

May 2024 - July 2024

• Researched market trends to identify three promising tech ventures, leading to a 15% increase in potential investments.
• Created financial models and projections for start-ups, improving financial forecasting accuracy by 20%.
• Worked with different teams to evaluate new tech start-ups, successfully selecting five for further review.
• Presented insights and recommendations to senior management, helping them make informed decisions and secure approval for two new investments.

Data Analyst | Full-Time

March 2024 - March 2024

• Reviewed geographic data to ensure maps were accurate, complete, and met quality standards, improving data reliability by 15%.
• Analyzed spatial data to identify trends and inconsistencies, providing insights to enhance map performance and user experience.
• Streamlined data validation workflows, reducing processing time by 20% and making reviews more efficient.
• Worked with GIS specialists and developers to implement enhancements that improved map accuracy and usability.
• Contributed to the successful launch of updated maps, increasing navigation accuracy and user satisfaction by 12%.

Data Science Trainee | Apprenticeship

October 2023 - November 2023

• Worked with different teams to identify key business challenges and applied data science solutions, resulting in a 25% increase in cost savings.
• Assisted in deploying machine learning models, ensuring smooth integration with existing systems and reducing deployment time by 40%.
• Designed data visualizations that improved data understanding, speeding up decision-making by 8%.
• Performed data cleaning and preprocessing, leading to a 4% improvement in data quality and accuracy.
• Built a predictive model using machine learning to estimate survival chances in the Titanic shipwreck.

Trainee | Traineeship

November 2022 - February 2023

• Collaborated with cross-functional teams to support the design and execution of data-driven solutions for internal business challenges.
• Assisted in the development and debugging of Python scripts and SQL queries to streamline reporting and analytics.
• Conducted detailed testing and documentation of financial models, ensuring accuracy and compliance with regulatory standards.
• Participated in daily stand-ups and knowledge-sharing sessions, gaining exposure to real-time risk analysis and capital market operations.