About Me
I am a seasoned educator and software engineer with extensive experience in teaching, research, and development across multiple disciplines. My academic journey began with a deep passion for mathematics and physics, which evolved into a robust career in teaching and mentoring students at various levels, from GCSE and A-Levels to postgraduate studies. With a strong foundation in programming and engineering, I have combined theoretical teaching with practical insights, ensuring students grasp both fundamental concepts and real-world applications.
Having worked in academia and industry, I bring a unique perspective to tutoring. My hands-on experience in software development, artificial intelligence, and data analytics allows me to provide cutting-edge knowledge and skills that prepare students for competitive exams and professional challenges.
Core Strengths and Achievements
- Strong Academic and Professional Background:
Completed a PhD focusing on computational modelling, with years of experience teaching advanced concepts in programming, data science, and physics.
Hands-On Skills Development:
Designed and delivered practical coursework, including projects on IoT, machine learning, and real-time data systems, ensuring students gain industry-relevant expertise.
Award-Winning Educator:
Recognised for excellence in teaching and mentoring, with a proven track record of helping students excel in exams and research endeavours.
Innovative Tools and Methods:
Utilised cutting-edge software and educational technologies, including interactive simulations and data visualisations, to enrich the learning experience.
Why Choose Me as Your Tutor?
With a combination of deep subject knowledge, practical experience, and a student-centric approach, I am committed to unlocking your full potential. Whether you are preparing for exams, tackling challenging coursework, or aiming to master a new skill, I provide the guidance and support you need to achieve your goals. My proven methodologies and passion for teaching ensure that every lesson is a step toward success.
Diverse Subjects and Levels:
Over a decade of experience teaching Mathematics, Physics, and Engineering to GCSE, A-Level, and university students, specialising in both pure and applied aspects.
Programming Expertise:
Delivered lectures and workshops on Python, Django, JavaScript, and engineering tools like AutoCAD, SolidWorks, and Ansys. I have guided students through coding projects, software development practices, and the latest technologies in cloud computing and AI.
Research Supervision:
Supervised postgraduate and undergraduate students, mentoring them in advanced research topics such as machine learning, computational fluid dynamics, and data analytics.
Practical Applications:
Conducted industry-oriented training in programming and data science, equipping students with skills to thrive in real-world environments.
My teaching philosophy is centred around adaptability, engagement, and empowerment. I believe that every student learns differently, so I tailor my teaching style to meet their individual needs:
Interactive Sessions:
Encourage active participation to make complex topics accessible and enjoyable.
Real-World Applications:
Connect theoretical concepts to practical scenarios to enhance understanding and relevance.
Problem-Solving Focus:
Integrate exercises, case studies, and projects to reinforce knowledge and develop critical thinking skills.
Continuous Assessment and Feedback:
Provide regular progress reviews and actionable feedback to ensure consistent improvement.
Confidence Building:
Foster a supportive learning environment where students feel encouraged to ask questions, make mistakes, and learn from them.
Languages | English (British), Hindi, Punjabi, Urdu |
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Availability | Weekends, Weekdays (all times) |
References Available | On File |
University of Huddersfield | 2018 | Doctorate | Phd Researcher | |
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University of Huddersfield | 2013 | Bachelors | BEng Mechanical Engineering | |
University of Huddersfield | 2016 | Other | Teaching Assistant Preparation Programme (TAPP) |
Feedback | |
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Published feedback | |
Unpublished feedback (Usually negative) | 1 |
Maths | In-person | Online |
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GCSE | £35 | £31.50 |
A-Level | £40 | £36 |
University | £45 | £40.50 |
Casual Learner | £40 | £36 |
Physics | In-person | Online |
---|---|---|
GCSE | £35 | £31.50 |
A-Level | £40 | £36 |
University | £45 | £40.50 |
Casual Learner | £40 | £36 |
Combined Science | In-person | Online |
---|---|---|
GCSE | £35 | £31.50 |
A-Level | £40 | £36 |
Computer Studies / I.T. | In-person | Online |
---|---|---|
GCSE | £35 | £31.50 |
A-Level | £40 | £36 |
University | £45 | £40.50 |
Casual Learner | £40 | £36 |
Mechanical Engineering | In-person | Online |
---|---|---|
GCSE | £35 | £31.50 |
A-Level | £40 | £36 |
University | £45 | £40.50 |
Casual Learner | £40 | £36 |