GMAT Tutors : 1-1 GMAT Preparation

I’m a full-time private tutor with an extensive background in maths and data tech. I’ve been tutoring/taught for over twelve years, and worked in the data tech industry for six years. My academic background is from Sussex University. I completed my MMath degree with a 1st class honours in 2014 writing my dissertation on Bochner-Riesz summability and Strichartz estimates. I then completed my PhD in maths in 2019 under the Hirschfeld scholarship passing with minor corrections (2019); my thesis was titled “Topics in Geometric and Harmonic Analysis on Symmetric Spaces and Lie Groups”. I started tutoring as an A-level assistant at school helping GCSE students with maths work in the classroom. I picked it up again as a university undergraduate as a convenient way to fund my studies. I quickly realised that I had a knack for tutoring being able to get the best out of my students and consequently help them achieve their goals. Tutoring has since become my passion. From that point, I’ve had a range of tutoring positions including acting as a classroom assistant in a local school, one-on-one tutoring online and in person, leading university workshops, marking homework, being a university examiner, delivering lectures at universities, and leading technical training in industry. My PhD further enhanced my tutoring. I had regular contact with my research supervisor who had a remarkable ability to explain complex maths concepts in a simplified way unfolding the concepts as if he was telling a story. I integrated this into my tutoring technique. I constantly strive to develop this skill further and pass it onto my students to engender their enthusiasm. I entered the workforce following the completion of my PhD as a data specialist working in tech and applying maths to solve machine learning problems. An example was acting as an intermediary translating academic mathematical models into Python and PySpark code to improve the computation of aggregate functions. I continued teaching responsibilities being responsible for training work colleagues in data engineering skills and advanced machine learning. I’m now a full time tutor after spending six years in data tech. I have expanded my tutoring portfolio into further areas including: computer science, data engineering/science best practices, dissertation advice, maths entrance exams, mechanics, university application assistance, Python/SQL pair programming, statistics, and test preparation.

Hello! I’m Senushi, a medical student and computational neuroscience researcher driven by a passion for making complex science accessible and exciting. My academic journey has been defined by a commitment to excellence, having ranked #1 overall in my medical school selection process. I achieved a near-perfect 299/300 in Edexcel IAL Chemistry, which placed me as a potential world-first ranker, and I hold A* grades in both Biology and Physics. 
Beyond the classroom, I am deeply involved in the future of medicine through AI-driven neurotechnology. My work in predictive AI for brain health has won global competitions, including being named the Overall Winner at the DevNetwork Hackathon among hundreds of professional engineers. Whether I am discussing sleep biomarkers or astronaut cognitive health for NASA, I believe that every student has the potential to master difficult subjects when given the right tools. I founded Stardust Academy to mentor students globally, and I am excited to bring that same dedication to helping you reach your highest academic goals.

I’m a full-time private tutor with an extensive background in maths and data tech. I’ve been tutoring/taught for over twelve years, and worked in the data tech industry for six years. My academic background is from Sussex University. I completed my MMath degree with a 1st class honours in 2014 writing my dissertation on Bochner-Riesz summability and Strichartz estimates. I then completed my PhD in maths in 2019 under the Hirschfeld scholarship passing with minor corrections (2019); my thesis was titled “Topics in Geometric and Harmonic Analysis on Symmetric Spaces and Lie Groups”. I started tutoring as an A-level assistant at school helping GCSE students with maths work in the classroom. I picked it up again as a university undergraduate as a convenient way to fund my studies. I quickly realised that I had a knack for tutoring being able to get the best out of my students and consequently help them achieve their goals. Tutoring has since become my passion. From that point, I’ve had a range of tutoring positions including acting as a classroom assistant in a local school, one-on-one tutoring online and in person, leading university workshops, marking homework, being a university examiner, delivering lectures at universities, and leading technical training in industry. My PhD further enhanced my tutoring. I had regular contact with my research supervisor who had a remarkable ability to explain complex maths concepts in a simplified way unfolding the concepts as if he was telling a story. I integrated this into my tutoring technique. I constantly strive to develop this skill further and pass it onto my students to engender their enthusiasm. I entered the workforce following the completion of my PhD as a data specialist working in tech and applying maths to solve machine learning problems. An example was acting as an intermediary translating academic mathematical models into Python and PySpark code to improve the computation of aggregate functions. I continued teaching responsibilities being responsible for training work colleagues in data engineering skills and advanced machine learning. I’m now a full time tutor after spending six years in data tech. I have expanded my tutoring portfolio into further areas including: computer science, data engineering/science best practices, dissertation advice, maths entrance exams, mechanics, university application assistance, Python/SQL pair programming, statistics, and test preparation.

Hello! I’m Senushi, a medical student and computational neuroscience researcher driven by a passion for making complex science accessible and exciting. My academic journey has been defined by a commitment to excellence, having ranked #1 overall in my medical school selection process. I achieved a near-perfect 299/300 in Edexcel IAL Chemistry, which placed me as a potential world-first ranker, and I hold A* grades in both Biology and Physics. 
Beyond the classroom, I am deeply involved in the future of medicine through AI-driven neurotechnology. My work in predictive AI for brain health has won global competitions, including being named the Overall Winner at the DevNetwork Hackathon among hundreds of professional engineers. Whether I am discussing sleep biomarkers or astronaut cognitive health for NASA, I believe that every student has the potential to master difficult subjects when given the right tools. I founded Stardust Academy to mentor students globally, and I am excited to bring that same dedication to helping you reach your highest academic goals.