Computer Science Faculty

About FACE Prep

In an era where education is rapidly evolving, we stand out for our innovative approach and commitment to student success. FACE Prep, has been disrupting the edtech industry for 15 years since inception, providing tailored programs that cater to diverse learning needs. Whether you're a college student preparing for competitive exams or a professional looking to upskill, FACE Prep offers resources that empower individuals at every stage of their educational journey. FACE Prep is a beacon of hope in the world of education technology and it continues to shape futures with its unique offerings.

Key Responsibilities:

1. Mentoring & Training:  Guide students through technical subjects, ensuring comprehension of complex concepts.  Provide personalized support and effectively manage class sessions.

2. Placement Alignment:  Collaborate with the placement team to ensure training aligns with industry requirements, enhancing job readiness.

3. Feedback & Assessment:  Continuously evaluate student performance, providing constructive feedback for improvement.

4. Communication:  Maintain regular communication with students and parents to address any academic concerns.

5. Professional Development:  Stay updated on industry trends to enhance the relevance and quality of training.

Pre-Academic Responsibilities:  Collaborate with the admissions team to assess applicant’s communication skills and aptitude suitability for the program.

 Conduct sessions for prospective students, highlighting program benefits and addressing queries. Academic Responsibilities:

 Conduct hands-on practical training sessions to reinforce student’s technical skills.

 Collaborate with Subject Matter Experts to organize industry-relevant workshops and seminars.

 Actively engage in personal and professional development activities to keep students aligned with industry trends.

 Monitor and maintain data on student progress, including attendance, assessment scores, and assignment performance.

Qualifications:

 Education: Master’s degree in a Computer Science stream, such as Computer Science & Engineering (CSE), Computer Science with AI & ML, Data Science, or a related field.

 Skills: Excellent communication skills, a passion for teaching, and demonstrated expertise in programming (C, C++, Python, Java, or DSA).