Process Manager for Data Sciences Services & Solutions

I am a Programmer from India with a passion for coding and a deep understanding of several key technologies. My expertise is in Oracle Apps, PLSQL, Oracle Database, Python, and Azure. I have gained experience working with large databases in Core Banking tool, to working with more than 10 million Customer records in Telecom domain, enriching my skills in Performance Tuning. As a technology enthusiast, I am always eager to learn new skills and explore emerging trends in the field with particular interest in creating chatbots. Currently I am working in Spectrum automation utilities, and I love to work in a dynamic environment and enjoy collaborating with other talented professionals to solve challenging problems and drive innovation.

I collaborate with different functions to acquire, process and transform data using technologies for better insights and decision-making for Pharma R&D.​

Senior Product Owner Clinical with a long experience in Clinical Processes and Digital Workplace but also interested Enterprise Architecture, Data Science, AI, Enterprise Search and more of the fancy stuff. Privately, I am interested in photography

The Data Assets and Insights Solutions subfunction, DAIS, consists of a team of dedicated computer and data scientists which combine deep R&D process and domain expertise (biology, chemistry, pharmacy, etc) with advanced computational expertise (software engineering, natural language processing, scalable architectures, bio- & chem-informatics, data integration & visualization, etc). We integrate, enrich and harmonize large scientific datasets to build foundational data assets which are used by the R&D organization and our team to build insights solutions. They address key R&D challenges to improve speed, quality and probability of success of our R&D pipeline. Selected business critical tasks within R&D we are focusing on: - Target identification including holistic assessment - Disease understanding including precision medicine - Pipeline evaluation (therapeutic potential and risks) - Modality selection including identification of tool compounds - Identification of collaboration and in-licensing opportunities For more information contact: Wolfgang Thielemann. Artwork: Licensed pictures.

Collaborations with external partners may lead to joint legal rights for compounds and data, which may restrict reusage in other projects. With the increasing number of collaborations at Bayer and with advancing time, memories of the project details fade, and reconstruction of the status will be nearly impossible. Therefore, we aim for a system to document the role of compounds, which will facilitate decisions on further usage in other collaborations. For more information contact: Miriam Wollenhaupt. Images taken from Microsoft Office free for use pictograms.

I studied piano performance and toxicology, and am now Master Data Manager at Bayer Pharma in the R&D Master Data Management team of Data Science & AI. I am passionate about team collaboration and rowing. Currently, I'm co-leading the IDMP Ontology, an international cross-industry project with 12 pharma companies for the unique identification of medicinal products to ensure patient safety. Talk to me about common standards and high quality data for better ML and AI outcomes, our next collaboration project, and/or our next jam session at the Bayer Berlin campus.