aligned with industry standards.
Teach core concepts including
Python programming, Statistics, Data Analysis, AI, and ML algorithms
.
Guide learners in implementing real-world
machine learning and deep learning projects
.
Provide support and mentorship for student projects, assignments, and career guidance.
Stay updated with the latest tools, technologies, and trends in AI/ML.
Evaluate and monitor learner progress to ensure
successful outcomes
.
Required Skills & Expertise:
Strong proficiency in
Python, NumPy, Pandas, Matplotlib, Scikit-learn
.
Hands-on experience with
AI/ML algorithms
Solid foundation in
Mathematics & Statistics
for Data Science.
Familiarity with
SQL, Data Visualization (Power BI/Tableau), and Big Data basics
is an advantage.
Excellent communication and presentation skills.
Qualifications:
Bachelor's/Master's degree in
Computer Science, Data Science, AI/ML, or related field