
Description:
- Teaching & Curriculum Delivery
- Conduct classes on Marketing Analytics, Consumer Insights, Digital Analytics, and Data-Driven Marketing.
- Develop and update curriculum aligned with the latest industry trends and tools.
- Create case studies, practical labs, and live project opportunities for students.
- Evaluate student performance through projects, tests, and hands-on assignments.
Technical Expertise Required:
- Analytical Modelling Experience
- Prediction Models for marketing and business outcomes
- NLP Models for customer sentiment analysis
- Clustering Models for customer segmentation
- Time-Series Models for sales and demand forecasting
Tools & Platforms:
- Python (Pandas, NumPy, Scikit-Learn, NLP libraries)
- Advanced Excel
- Power BI for dashboarding and visualizations
- JIRA for project tracking
- GitHub for version control and collaboration
Industry Engagement:
- Guide students through live analytics projects, internships, and practical assignments.
- Organize guest sessions, workshops, and external certifications.
- Help students use analytics tools to solve real marketing challenges.
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