Interned as a Data Analyst at Robert Bosch GmbH, enhancing overall product performance in the AE/ECM2-CE department through insightful data analysis for optimal product quality.

• Enhanced access to product design information by 10% through collaborating with product and growth teams to develop engaging dashboards that tell a compelling data-driven story using Power BI to optimize manufacturing processes and identify defective design elements.
• Boosted team productivity by 5% while collaborating with the senior manager to analyze employee data and developed personalized reports and maintained data documentation and definitions.
• Optimized data processing time by 5% and data accuracy by 10% by formulating KPIs and metrics, implementing ETL processes, and conducting impactful statistical analysis (defined scrap rate) using SQL and Python.
• Conducted A/B testing for two products to optimize product quality by implementing controlled experiments, analyzing user experience and feedback, and deriving insights to inform strategic improvements for enhanced overall product performance.

• Led report migration from Excel to Power BI, reducing prep time by 15% through developing a collaborative framework for analyzing brain training dataset.
• Boosted data performance by 10% through advanced statistical modeling techniques, guided by the professor and PhD colleague, to uncover patterns in user behavior data for evidence-based product strategy.
• Integrated insights from cognitive science and data analytics to explore new approaches for optimizing user engagement in brain training applications.
• Designed experiments with the professor and PhD colleague to evaluate new features for improving cognitive performance and user experience in the brain training platform.

• Trained teams to automate critical reports, reducing workload by 7 hours, while collaborating with university clients and external stakeholders, providing insights into data modeling and transformation processes.
• Assisted professors in their PhD projects by leveraging Python and statistical analysis techniques, contributing to the advancement of academic research.
• Mentored first-year students in the utilization of visualization tools and initiation of data science projects, fostering their skills and enthusiasm in the field.
• Led a team of first-year students to publish multiple projects on GitHub, demonstrating proficiency in SQL, Power BI, and data analytics to a broader audience.

• Implemented statistical techniques (A/B Testing) to uncover patterns and trends within data, amplifying the organization's grasp of business performance and avenues for enhancement.
• Mastered handled and analyzed datasets independently, demonstrating proficiency in data manipulation and interpretation.
• Engaged in multiple projects, leveraging acquired skills to extract actionable insights and strengthen decision-making processes.
• Employed Power BI to craft visually compelling and informative reports, adeptly communicating findings to stakeholders.