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Division AI Lead at BASF.
Dynamic and accomplished professional with over 15 years of experience in R&D, Commercial and the IT industry, aiming to leverage profound background in AI/ML, digitalization, data analysis, and team leadership to drive transformative change. Proven expertise in publishing scientific literature, driving project success, digitization initiatives, and advancing Data & AI strategies, and nurturing high-performing team in multinational and multicultural environments.
Max Planck Society
Doctor of Philosophy - PhD, Computational Plant Genetics
November 1, 2011 – December 1, 2015
Bioinformatics Centre, University of Pune
MSc, Bioinformatics
January 1, 2006 – January 1, 2008
Delhi University
Bachelor Degree, Biochemistry
January 1, 2002 – January 1, 2005
BASF
Division AI Lead
August 1, 2024 – Present
BASF
Principal Business Scientist
July 1, 2021 – Present
BASF
Product Component Lead
January 1, 2020 – July 1, 2021
BASF
Digitalization Research Scientist
January 1, 2018 – January 1, 2020
University of Zurich
Computational/Bioinformatics Scientist
February 1, 2016 – January 1, 2018
Zurich, Switzerland
Max Planck Institute for Plant Breeding Research
Doctoral Researcher
November 1, 2011 – January 1, 2016
Germany
Persistent Systems
Senior Domain Analyst
March 1, 2011 – October 1, 2011
Allscripts
Consultant
October 1, 2010 – March 1, 2011
IGIB
Project Assistant
September 1, 2009 – May 1, 2010
Persistent Systems
Software Engineer
June 1, 2008 – September 1, 2009
Managing Big Data with MySQL
Coursera
June 24, 2026 – Present
Advanced Statistics: Statistical Modelling
SIB Swiss Institute of Bioinformatics
June 24, 2026 – Present
REST API Design, Development & Management
Udemy Academy
June 24, 2026 – Present
The Cassandra Distributed Database
Udemy
June 24, 2026 – Present
Docker Mastery: The Complete Toolset From a Docker Captain
Udemy
June 24, 2026 – Present
Design Thinking: Understanding the Process (2016)
June 24, 2026 – Present
Azure for Developers: API Management
June 24, 2026 – Present
API Testing Foundations
June 24, 2026 – Present
Azure for Architects: Design an Authentication and Data Security Strategy
June 24, 2026 – Present
Cybersecurity Foundations
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Python for Genomic Data Science
Coursera
June 24, 2026 – Present
Building a Web Application on Microsoft Azure
June 24, 2026 – Present
Text Mining, Scraping and Sentiment Analysis with R
Udemy
June 24, 2026 – Present
A Toolkit for Giving and Receiving Better Feedback
June 24, 2026 – Present
GDPR Compliance: Essential Training
June 24, 2026 – Present
Learning Jira Software
June 24, 2026 – Present
Developing CI/CD Solutions with Azure DevOps
June 24, 2026 – Present
Bioinformatics National Certification (BINC)
DBT, India
June 24, 2026 – Present
Health Insurance Portability and Accountability Act (HIPAA)
Cyber College, Banglore
June 24, 2026 – Present
A Crash Course in Data Science
Coursera
June 24, 2026 – Present
Developing Data Products : App development (using R-shiny, Leaflet, GoogleVis) by Johns Hopkins University
Coursera
June 24, 2026 – Present
Migrating from REST to GraphQL
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic and research background, followed by a significant tenure at BASF in various data-focused and leadership roles. The transition from pure research to business science and AI leadership at a large corporation like BASF demonstrates adaptability and a willingness to apply scientific rigor to commercial challenges. The target role of 'Data Analyst' is a step down from 'Division AI Lead' in terms of seniority, which might indicate a desire for a more hands-on data role or a misalignment with current career trajectory. The breadth of certifications, including those in Azure, Docker, and various data science tools, shows a commitment to continuous learning and staying current with industry trends, which is a positive cultural indicator. However, the lack of specific project details makes it difficult to fully assess collaboration and impact in team settings.
Soft Skills & Operational Fit
The candidate's career progression from research scientist to Division AI Lead at BASF suggests strong leadership potential, problem-solving skills, and adaptability. The description of 'transforming business by providing data-driven business insights' indicates a business-oriented mindset and ability to translate technical findings into actionable strategies. Certifications in 'Design Thinking' and 'A Toolkit for Giving and Receiving Better Feedback' also point to an understanding of collaborative and iterative work processes.