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Pramila
- Rate 193 GHS
- Response 1h
-
Students1
Number of students Pramila has accompanied since arriving at Superprof
Number of students Pramila has accompanied since arriving at Superprof

193 GHS/hr
Unfortunately, this tutor is unavailable
- Maths
- Statistics
- Algorithms
- Computing
Data Scientist & Computer Science Engineer with Masters in Information Technology Offering Mathematics & Computer Science Tutoring from High School to University Level in Sydney
- Maths
- Statistics
- Algorithms
- Computing
Lesson location
About Pramila
About Me:
Currently pursuing Masters in IT (Artificial Intelligence) at UNSW, I combine academic expertise with industry experience as a Data Scientist and Machine Learning Engineer. My professional background includes roles at HPE and Renew Power, where I applied advanced mathematics in AI and data analysis.
As a former Data Science Mentor at upGrad (4.5+ rating), I developed effective methods for teaching complex mathematical concepts to university students. My expertise spans:
- Advanced Mathematics & Calculus
- Linear Algebra
- Probability & Statistics
- HSC Mathematics (all levels)
- University-level Mathematics
Teaching Approach:
- Systematic concept building
- Focus on problem-solving strategies
- Real-world applications from AI and technology
- Regular progress assessments
- Personalized learning plans
I specialize in both HSC exam preparation and university-level mathematics support, adapting my teaching style to each student's learning pace and goals. My industry background enables me to demonstrate practical applications of mathematical concepts, making learning both relevant and engaging.
Available for:
- High School students (Years 6-12)
- HSC Mathematics students
- University undergraduates
- Adults returning to study
About the lesson
- Primary school
- Junior high school
- SHS 1
- +8
levels :
Primary school
Junior high school
SHS 1
SHS 2
BTS
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
Pre school
- English
All languages in which the lesson is available :
English
I structure my lessons using a "learn by doing" approach, built on my experience as both a Data Science mentor and industry practitioner. Each session follows a clear pattern:
1. Concept Introduction :
- Clear explanation of mathematical principles
- Real-world examples
- Visual aids and diagrams for better understanding
2. Guided Practice :
- Step-by-step problem solving
- Focus on exam-style questions
- Building problem-solving strategies
- Interactive worked examples
3. Independent Practice :
- Hands-on practice with similar problems
- Immediate feedback and corrections
- Discussion of alternative approaches
Lesson Duration:
- Standard sessions are 1 hour
- Extended sessions (1.5 hours) available for exam preparation
- Flexible scheduling with regular weekly slots
Qualifications and Experience:
- Masters in IT (Artificial Intelligence) student at UNSW
- Former Data Science Mentor at upGrad (4.5+ rating)
- Industry experience applying advanced mathematics in Machine Learning and Data Science
- Extensive knowledge of HSC and University mathematics curriculum
Target Students:
- High School students (Years 9-12)
- HSC Mathematics (Standard, Advanced, and Extension)
- University students (Undergraduate level)
- Adults returning to study or needing mathematics for career development
Special Focus Areas:
- HSC exam preparation
- University mathematics support
- STEM-focused mathematical applications
- Building mathematical confidence and problem-solving skills
Each student receives:
- Personalized learning plan
- Regular progress assessments
- Practice materials and homework
- Email support between sessions
- Summary notes after each lesson
I adapt my teaching style to each student's learning pace and preferences, ensuring concepts are thoroughly understood before moving forward. My industry background allows me to show students how mathematical concepts apply in real-world, making learning more engaging and relevant.
Rates
Rate
- 193 GHS
Pack prices
- 5h: 965 GHS
- 10h: 1930 GHS
online
- GHS193/h
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