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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
Since October 2019
Instructor since October 2019
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Private lessons/
From 23.22 £ /h
A qualified professor in applied mathematics (Sorbonne University and University of Lorraine) and a former quantitative analyst in finance, I offer courses in mathematics, physics and statistics for all levels (primary, middle, high school, university, competitive exam preparation).
The course is structured in a progressive manner:
Understanding and explanation of the student's course.
Application exercises to consolidate concepts.
More in-depth exercises, exam-type topics and solution methodology.
Each session is tailored to the student's level, goals, and pace. My goal is to make them independent, confident, and capable of passing their exams.
The course is structured in a progressive manner:
Understanding and explanation of the student's course.
Application exercises to consolidate concepts.
More in-depth exercises, exam-type topics and solution methodology.
Each session is tailored to the student's level, goals, and pace. My goal is to make them independent, confident, and capable of passing their exams.
Extra information
Bring your course books, textbooks, and exercises provided by the school. I can also provide additional materials and exercises if necessary.
Location
At student's location :
- Around Cergy-Pontoise, France
- Around Boulogne-Billancourt, France
Online from France
About Me
Hello,
My name is Reda, a graduate professor of applied mathematics from Sorbonne University (UPMC) and the University of Lorraine, and a former quantitative analyst in finance. After attending MPSI/MP preparatory classes and pursuing advanced studies in mathematics and statistics, I have acquired solid skills that I enjoy passing on to my students.
I offer math, physics, statistics, and methodology courses for all levels: elementary, middle, high school, university, or preparing for competitive exams and competitions. My goal is to help each student progress at their own pace, overcome challenges, and develop confidence in their abilities.
My teaching is based on a clear and structured approach:
We begin by reviewing the essential theoretical concepts, in order to fully understand the course.
Then, I suggest application exercises to consolidate what has been learned and encourage the practical application of the concepts.
Finally, we cover more in-depth exercises, as well as past papers and past papers to effectively prepare for assessments.
My classes can be held at home in Paris 16, 17, Neuilly, and Levallois, or online at your convenience. Each session is personalized according to the student's level and goals, and I strive to establish a climate of trust and motivation.
Serious and diligent, I am endowed with great patience and a pedagogy adapted to each individual. My experience in academic support and university training has allowed me to develop effective methods that make students independent and confident. Being my student means, above all, benefiting from attentive support, but also from a mentor who shares his experiences, his advice and his passion for mathematics.
With me, learning becomes structured, progressive and motivating: each session is a step towards success and a bright future.
My name is Reda, a graduate professor of applied mathematics from Sorbonne University (UPMC) and the University of Lorraine, and a former quantitative analyst in finance. After attending MPSI/MP preparatory classes and pursuing advanced studies in mathematics and statistics, I have acquired solid skills that I enjoy passing on to my students.
I offer math, physics, statistics, and methodology courses for all levels: elementary, middle, high school, university, or preparing for competitive exams and competitions. My goal is to help each student progress at their own pace, overcome challenges, and develop confidence in their abilities.
My teaching is based on a clear and structured approach:
We begin by reviewing the essential theoretical concepts, in order to fully understand the course.
Then, I suggest application exercises to consolidate what has been learned and encourage the practical application of the concepts.
Finally, we cover more in-depth exercises, as well as past papers and past papers to effectively prepare for assessments.
My classes can be held at home in Paris 16, 17, Neuilly, and Levallois, or online at your convenience. Each session is personalized according to the student's level and goals, and I strive to establish a climate of trust and motivation.
Serious and diligent, I am endowed with great patience and a pedagogy adapted to each individual. My experience in academic support and university training has allowed me to develop effective methods that make students independent and confident. Being my student means, above all, benefiting from attentive support, but also from a mentor who shares his experiences, his advice and his passion for mathematics.
With me, learning becomes structured, progressive and motivating: each session is a step towards success and a bright future.
Education
M2 Mathematical Engineering, Financial Engineering and Random Models course at Sorbonne University (Paris, France)
From September 2021 to December 2023
M1 Mathematics and Applications course in Mathematical Engineering for Data Science at the University of Lorraine (Nancy, France)
From September 2020 to June 2021
Bachelor's Degree in Mathematics and Applications / University of Lorraine Nancy, France
Obtained with Distinction
From September 2018 to June 2020
From September 2021 to December 2023
M1 Mathematics and Applications course in Mathematical Engineering for Data Science at the University of Lorraine (Nancy, France)
From September 2020 to June 2021
Bachelor's Degree in Mathematics and Applications / University of Lorraine Nancy, France
Obtained with Distinction
From September 2018 to June 2020
Experience / Qualifications
Private lessons / Academic support (Maths) | Nancy
Methodology of work :
- Proofreading Courses
- Creation of understandable files
- Assimilation through a large number of exercises (through basic exercises
and then through more advanced in-depth exercises)
Axis Alternatives: (Internship)
Position: Junior Quantitative Analyst
Contribution to the development and automation of financial transaction cost calculation tools.
Analysis and processing of complex financial data (trades, fund shares, asset classes).
Implementation of Python scripts to automate calculation and reporting.
Teamwork on integrating results into Microsoft Dataverse via Power Automate.
Participation in the optimization of workflows and data mapping templates.
OTCFin: Internship
Developer / Quantitative Analyst
Implementation of Transaction Cost (TC) calculations according to PRIIPs regulations.
Development of Python functions deployed on Azure Functions for parallel orchestration of computations.
Creation of mappings between API outputs and internal reporting tables (Dataverse).
Implementation of tests, validation of data and monitoring of the quality of results.
Collaboration with the project team to document and improve the calculation and automation cycle.
Methodology of work :
- Proofreading Courses
- Creation of understandable files
- Assimilation through a large number of exercises (through basic exercises
and then through more advanced in-depth exercises)
Axis Alternatives: (Internship)
Position: Junior Quantitative Analyst
Contribution to the development and automation of financial transaction cost calculation tools.
Analysis and processing of complex financial data (trades, fund shares, asset classes).
Implementation of Python scripts to automate calculation and reporting.
Teamwork on integrating results into Microsoft Dataverse via Power Automate.
Participation in the optimization of workflows and data mapping templates.
OTCFin: Internship
Developer / Quantitative Analyst
Implementation of Transaction Cost (TC) calculations according to PRIIPs regulations.
Development of Python functions deployed on Azure Functions for parallel orchestration of computations.
Creation of mappings between API outputs and internal reporting tables (Dataverse).
Implementation of tests, validation of data and monitoring of the quality of results.
Collaboration with the project team to document and improve the calculation and automation cycle.
Age
Infants (0-3 years old)
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
French
Arabic
English
Skills
Availability of a typical week
(GMT -05:00)
New York
Online via webcam
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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