Welcome to our Creative team
Growth and innovation has been our strength and we are constantly working towards improving ourselves to become best in the industry. If you have potential and that thrive to work best under pressure then we have an opportunity for you. Come one step closer and become a part of the digital industry with us.
Key Responsibilities:
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Deliver comprehensive training in Data Science, Machine Learning, and AI concepts using real-world case studies and industry examples.
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Design and update curriculum covering Python, Statistics, Machine Learning, Deep Learning, Data Visualization, and AI tools as per current industry standards.
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Train students on popular data science libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Power BI/Tableau.
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Guide students in data preprocessing, data cleaning, model building, evaluation, and deployment techniques.
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Develop hands-on projects, assignments, and capstone projects aligned with real business problems.
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Provide mentorship and career guidance to students, including portfolio building, resume preparation, and interview readiness.
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Conduct assessments, quizzes, and mock interviews to evaluate student performance and learning progress.
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Stay updated with the latest trends in Artificial Intelligence, Generative AI, and Data Analytics and incorporate them into training modules.
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Collaborate with the academic team to improve course quality and learning outcomes.
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Ensure high student engagement, satisfaction, and course completion rates.
Other Day to Day Responsibilities:
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Prepare daily lesson plans, presentations, datasets, and coding exercises.
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Conduct live demonstrations, coding sessions, and doubt-solving classes.
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Monitor student progress and provide personalized feedback and support.
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Assist students in completing projects using tools like Jupyter Notebook, Google Colab, Excel, SQL, and Python IDEs.
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Review assignments and provide suggestions for improvement.
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Maintain attendance records, performance reports, and training documentation.
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Support students in creating GitHub portfolios and project documentation.
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Participate in workshops, seminars, and webinars related to Data Science and AI.
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Coordinate with placement and academic teams to align training with industry job requirements.
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Contribute to creating training materials such as notes, case studies, datasets, and recorded sessions.
Education
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Any graduate or Post Graduate
