Machine learning has been revolutionizing all fields and has helped make waves in the research and development of drugs, identifying drug properties, understanding patterns, and deriving intelligent results. Drug development and its lifecycle are very tedious and time-consuming. With the right application of machine learning algorithms, biotech and life science companies can fast-track drug development and pace themselves to newer discoveries. With the advent of large language models and neural networks, there are specific use cases, where machine learning proves highly effective. Even while there is much research going on and in progress, the potential impact of applying machine learning is huge to the needs of the pharmaceutical and life sciences sector.
Over 17 years of experience in life sciencesPrevious experience working with Pwc,KPMG and Deloitte,Oracle,MetricStream,Infosys Consulting, HTC and Siemens ResearchActive member of ISACAProfessional associations with ISPE,OCEG,GARP,Carnegie Mellon Swartz Center for entrepreneurshipMaster in Software Engineering, Carnegie Mellon University, Pittsburgh,USBachelors in Computer Science, University of Madras,India
Effective Communication: Ensuring Clarity, Accountability a…
2-Hour Virtual Seminar on Workplace Investigations 101: How…
Employers Should Prepare for Immigration Raids in 2026! Thi…
AI for Excel Professionals: Enhancing Productivity with Cha…
The Importance of the first 5 seconds when presenting
Negotiating Skills For Professional Results - Winning Strat…
Workplace Behavior in 2026: Tackling Conflicts and Incivili…
FDA Recommendations for Artificial Intelligence/Machine Lea…
Validation Statistics for Non-Statisticians
Bootcamp for New Managers and Supervisors: Develop These Es…
Interactive dashboards & analytics in Excel
Enhancing Project Management with Storytelling Techniques
4-Hour Workshop on Data Simplified: Sorting and Filtering, …
Creating Your 2026 Marketing Strategy
The Language of Leadership: Is Your Communication Style As …
ChatGPT for Innovative Business Advisory Services for Accou…
Utilizing A Proven Process When Conducting Sensitive, Inter…
How to Write Procedures to Avoid Human Errors
Human Factors Usability Studies Following ISO 62366 and FDA…
Why EBITDA Doesn't Spell Cash Flow and What Does?
Mastering DAX Patterns in the Era of AI & Copilot
Establishing Appropriate Quality Metrics and Key Performanc…
IRS Form 1099 Reporting: Compliance Requirements
FDA QMSR Explained: How the QMSR Replaces the QSR
How to Manage the Legal Landmine of the FMLA, ADA and Worke…
Understanding EBITDA – Definition, Formula & Calculation
Tattoos, hijabs, piercings, and pink hair: The challenges …
FDA Compliance And Laboratory Computer System Validation
Medical Device Hazard analysis following ISO 14971
Excel Spreadsheets; Develop and Validate for 21 CFR Part 11…
Excel + AI: The Smart User's Guide to Faster, Easier Work w…