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. 2–4 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.