Data scienceTrainer

Education:

B.E / B.Tech / M.Tech/ MCA/ Ph.D in Computer Science, IT, Data Science, or equivalent.

Strong foundation in AI, Machine Learning, Data Analytics, and Python Programming.

Experience:

1. 24 years of experience in: Python Programming (NumPy, Pandas, TensorFlow, Streamlit, Flask). Machine Learning & Deep Learning (classification, regression, CNN, RNN). Data Analytics (Excel, Power BI dashboards). AI Tools (ChatGPT, Gemini, Microsoft Copilot, Hugging Face).

2. Experience in teaching/mentoring technical & non-technical learners preferred.

Technical Skills:

Programming: Python, Streamlit, Flask, Django, SQL. Data Analytics: Excel, Power BI, visualization best practices. AI/ML/DL: TensorFlow, PyTorch, Scikit-learn, OpenCV, NLP techniques.

Soft Skills:

Strong communication and presentation skills. Ability to simplify technical concepts for diverse learner groups.

Location:

Open to multiple locations as per program requirements.

Willingness to travel for in-person workshops, faculty training, and student engagements.