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DISHANK
- Rate R162
- Response 1h

R162/h
1st lesson free
- Biology
- Biotechnology
Learn AI for Pharma, Clinical Research, Healthcare, Biotechnology, Statistics and Drug Development
- Biology
- Biotechnology
Lesson location
About DISHANK
I am an AI engineer and statistical programmer working in the pharmaceutical industry in Canada. My professional experience combines clinical trial programming, statistical analysis workflows, AI application development, and large language model operations.
I work at the intersection of technology and pharmaceutical research, giving me practical insight into how AI can be applied to clinical development, scientific workflows, data processing, reporting, and productivity.
My technical interests include Python, machine learning, generative AI, LLM applications, AI agents, workflow automation, and tools such as ChatGPT and Claude. I also have experience with clinical data standards and statistical programming concepts relevant to pharmaceutical research.
I enjoy helping students and professionals understand complex concepts in simple terms and connect technical knowledge to practical applications. My teaching approach is friendly, structured, and hands-on, with lessons tailored to each learner's experience and objectives.
Whether you are exploring AI for the first time or want to integrate AI into your scientific or technical career, I can help you build a clearer understanding and develop useful practical skills.
About the lesson
- Primary
- Secondary
- Matric/GCSE
- +8
levels :
Primary
Secondary
Matric/GCSE
AS Level
A Level
BTech
Adult education
Masters
Doctorate
Other
MBA
- English
Languages in which the lesson is available :
English
My lessons focus on applying Artificial Intelligence, Machine Learning, Generative AI, and modern AI tools to pharmaceutical sciences, clinical research, healthcare, biotechnology, biology, and statistics.
You will learn AI fundamentals, large language models (LLMs), prompt engineering, and how tools such as ChatGPT, Claude, and Gemini can support research, literature reviews, scientific writing, data analysis, programming, and everyday productivity.
For learners interested in the technical side, I also teach how to develop AI-powered applications using Python, APIs, and LLM technologies. We can explore practical applications such as document summarization, scientific information retrieval, research assistants, workflow automation, and AI-based data analysis.
For clinical and statistical programming professionals, lessons can cover AI-assisted SAS and Python workflows, clinical trial reporting concepts, SDTM and ADaM fundamentals, automated reporting, and the opportunities and limitations of AI in regulated environments.
Lessons are customized to your background and goals, whether you are a university student, researcher, clinical research professional, statistician, healthcare worker, or biotechnology professional looking to understand and apply AI in your field.
My goal is to help you move beyond theory and gain practical skills through demonstrations, hands-on exercises, and real-world examples using synthetic or public data.
Rates
Rate
- R162
Package rates
- 5h: R810
- 10h: R1620
free lesson
The free first lesson with DISHANK allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R162/h
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