Pranav Kulkarni

PharmaLex

Aachen, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Present

@PharmaLex

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EDUCATION

2008 — 2010

Savitribai Phule Pune University

Master's degree, Bioinformatics

2017 — 2017

Berlitz Sprachschule

Berufsbezogenes Deutsch, German language

2005 — 2008

Savitribai Phule Pune University

Bachelor of Science (B.Sc.), Biotechnology

SKILLS

RGenomicsBioinformaticsSqlComputational BiologyMachine LearningDna MethylationDna SequencingData AnalyticsText MiningCustomer SupportEpigenomicsPerlMongodbMicroarrayBig Data AnalyticsRnaseqMicroarray AnalysisData MiningData Visualization

ABOUT PRANAV KULKARNI

I operate at the intersection of Life Sciences and digital innovation. My mission is to ensure that R&D data isn\'t just collected, but is strategically architected to accelerate scientific discovery.I specialize in building the \"Business-IT Bridge.\" I speak the language of researchers and the language of architects, ensuring that the digital products we build actually solve the data pain points rather than adding to the administrative burden.What I bring to the table- Data Strategy & Governance: Expertise in implementing FAIR principles to ensure data is Findable, Accessible, Interoperable, Reusable, and high Quality- Semantic Architecture: Hands-on experience with semantic data modeling to create a unified scientific language across the organization- Digital Product Management: Leading the lifecycle of data products from ideation to implementation on modern stacks including AWS and Snowflake- Impact-Driven Leadership: I don’t just build models; I focus on R&D cycle-time reduction and enhancing decision-making towards impactful data products.Key impact areas: Pharma R&D, CMC, Animal Health, Bioinformatics, Vaccine DevelopmentKey Competencies: Agile methodologies (including Scrum, Kanban), Iterative development, cross-functional collaboration, Data management, SME engagement, Enterprise data solutions, Business Analysis, Requirements engineering, FAIR data, Semantics, Biomedical Ontologies, Bioinformatics, Genomics data analysis

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