Ritu Munshi

Ritu Munshi: A Blend of Industry Experience and Academic Excellence

With a dynamic career spanning several tech giants, including Amazon, Pine Labs, and Samsung Research Institute, I bring a wealth of real-world experience to my teaching. My role as a Business Intelligence Engineer at Amazon has honed my skills in data analysis, machine learning, and predictive modeling. My previous positions in software development have given me deep insights into software engineering, data science, and cloud computing.

Qualities:

Analytical Thinker: My experience in developing complex software solutions and working with vast datasets has sharpened my analytical abilities, a quality I aim to instill in my students.
Innovative Problem Solver: Having led projects that required innovative solutions, I focus on teaching students how to approach problems creatively.
Patient Mentor: Understanding the challenges of learning new technologies, I emphasize patience and personalized attention in my teaching.
Teaching Methods:

Hands-On Approach: I believe in learning by doing. My lessons often involve working on real-life projects and case studies to apply theoretical knowledge.
Interactive Learning: I encourage an interactive classroom environment where students are free to ask questions and share their viewpoints.
Focus on Fundamentals: A strong grasp of fundamentals is crucial. Whether it's programming or data science, I ensure that students build a solid foundation before advancing to more complex topics.
Use of Latest Technologies: Keeping up with the fast-paced tech industry, I incorporate the latest tools and technologies in my lessons, preparing students for the current job market.
Continuous Assessment and Feedback: Regular assessments and constructive feedback are part of my teaching methodology, helping students track their progress and stay motivated.
Additional Skills and Experience:

Versatility in Programming Languages: Proficient in Python, C, and C++, I can guide students across various levels of programming expertise.
Expertise in Machine Learning and Cloud Computing: With projects in ML and cloud services like AWS and Azure, I bring practical insights into these areas.
Strong Academic Background: My Master's degree in Advanced Computer Science and extensive coursework underpin my teaching with a strong theoretical base.
Community Engagement and Mentorship:

I'm actively involved in tech communities, offering mentorship and career guidance to budding professionals.
My network in the tech industry allows me to connect students with professionals and experts, enriching their learning experience.
Conclusion:
As an educator, I am committed to fostering a learning environment that is both challenging and supportive, equipping students with the skills and knowledge they need to excel in the fast-evolving tech industry.