Job Title

- Conduct live online and/or classroom sessions on: - Python for Data Science - Statistics & Probability - Machine Learning & AI - Advanced Excel - SQL (queries, joins, window functions, optimization) - Power BI (DAX, dashboards, data modeling) - Generative AI (Prompt Engineering, LLM basics, practical use cases) - Use case studies, hands-on labs, real datasets, and capstone projects. - Ensure high learner engagement through interactive teaching. - Design and update course modules, lesson plans, assignments, quizzes. - Help Students build projects across Excel, SQL, Python, ML, Power BI, and Gen AI tools. - Create high-quality training material: slides, datasets, notebooks, dashboards. - Provide post-class doubt clearing and 1:1 mentoring. - Review learner assignments, notebooks, SQL queries, and dashboards. - Guide students in building industry-ready portfolios and capstone projects. - Taking their Technical mocks and interview prep sessions - Conduct assessments, mock interviews, and project evaluations. - Track learner performance and share progress reports. - Maintain training quality and learner satisfaction. - Coordinate with academic, operations, and placement teams. - Follow LMS processes for content upload, attendance, session recordings. - Maintain consistent delivery standards and timelines. - Python, NumPy, Pandas - Statistics & Probability - Machine Learning algorithms - Excel (advanced formulas, pivot tables, dashboards) - SQL (Joins, CTEs, Window Functions, optimization) - Power BI (Power Query, DAX, data modeling, dashboards) - Generative AI (Prompt engineering, model usage, tools like ChatGPT, Gemini, Claude) - Sound Knowledge of Deep Learning/NLP - Excellent communication & presentation skills. - Ability to simplify complex concepts for beginners. - Strong analytical and problem-solving abilities. - Passion for teaching and mentoring. - 2-5+ years in Data Science/Analytics/BI or training roles. - Prior teaching/training experience is preferred but not mandatory. - Session feedback & learner satisfaction score. - Assignment and project completion rate. - Timely syllabus delivery. - Learner engagement & attendance. - Placement support outcomes (if applicable). - Full-time | Work from Office / Hybrid - Up to 70 hours of Classroom teaching per week + content creation. - Weekend availability based is needed - Week off Wednesday