Required Skills:
Proficiency in Python, Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn,
Tableau and Power BI.
Knowledge of Machine Learning algorithms and their real-world
applications.
Understanding of statistics, data preprocessing, and EDA.
Excellent communication and presentation skills.
Ability to engage and inspire students from non-technical backgrounds.
Eligibility Criteria:
Bachelor’s degree in Computer Science, Data Science, Engineering, or a
related field.
2–5 years of experience in teaching/training or industry experience in data
science roles.
Prior experience as a trainer or mentor is a plus.
Certifications in Data Science or Machine Learning (preferred but not
mandatory).
Perks and Benefits:
Flexible working hours
Exposure to a large network of learners and tech professionals.
Opportunity to work on live projects and build personal brand through
content/webinars.
Search qualified candidates by skills, location, experience, education, and more.
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