(1) In my role within the Data Insights & Process Excellence team at Roche Diagnostics' Post Market Quality Department, I implement advanced methods for post market quality data analysis across the entire Roche Diagnostics product portfolio. This position involves collaborating with stakeholders worldwide, moving beyond the focus on a single product to a more comprehensive, global approach.(2) My responsibilities include applying machine learning techniques, such as clustering and NLP… Show more (1) In my role within the Data Insights & Process Excellence team at Roche Diagnostics' Post Market Quality Department, I implement advanced methods for post market quality data analysis across the entire Roche Diagnostics product portfolio. This position involves collaborating with stakeholders worldwide, moving beyond the focus on a single product to a more comprehensive, global approach.(2) My responsibilities include applying machine learning techniques, such as clustering and NLP. As product owner for key projects, I develop tools to quantify the financial impacts of quality issues, driving strategic and effective quality management on a global scale.(3) A significant aspect of my role is improving data literacy across the organization. I led the integration of ThoughtSpot at PMQ, transitioning the data insight in our department from a maintenance-intensive Tableau framework to a more dynamic, self-service BI system, empowering teams globally with the capability for data-driven decision-making.(4) Furthermore, I support compliance with IVDR Article 83 'Trend Reporting' through maintenance, enhancement, and supplementation of critical Tableau reports and the underlying data used in them. This task is coupled with the migration of our post-market quality data to Snowflake, requiring extensive updates to multiple data products and ensuring data integrity and seamless integration across our global operations. Show less

Responsibilities include investigating hardware and software defects in cobas x800 instruments, analyzing global performance trends, and identifying opportunities for improvement. Collaborate with cross-functional teams to assess risks, initiate Corrective and Preventive Action (CAPA) plans, and communicate results to external manufacturers, R&D, and local affiliates. Driving process improvements and enhancing customer satisfaction.

Investigation and resoultion of global cobas 5800, 6800, and 8800 medical diagnostic instrument complaints, sharpening my problem-solving, troubleshooting, and creative solution-finding abilities, frequently utilizing data-driven decisions. Navigating the interface between local affiliates, R&D, regulatory affairs, production and business.

Data science internship in computational biology at the Chemical, Biology, and Therapeutics data science team (NIBR CBT) that involved automating workflows for GWAS and QTL studies using snakemake, writing scripts in R, Python, and shell, mapping genetic variants to target genes for drug target identification, performing data mining and harmonization, visualizing data, using Git-based version control in a team setting with tools like Bitbucket, RStudio, and Jira, and working in a UNIX system… Show more Data science internship in computational biology at the Chemical, Biology, and Therapeutics data science team (NIBR CBT) that involved automating workflows for GWAS and QTL studies using snakemake, writing scripts in R, Python, and shell, mapping genetic variants to target genes for drug target identification, performing data mining and harmonization, visualizing data, using Git-based version control in a team setting with tools like Bitbucket, RStudio, and Jira, and working in a UNIX system environment. Show less

Industrial internship as part of a master program at ETH Zurich. Working on a Focused Ultrasound (FUS) device for medical applications, utilizing a user-centered design approach and contributing as a co-inventor of a patent (US20220183560A1).