Nikhil

Cambridge Graduate, PhD in Financial Econometrics from Imperial, Winner of inaugural Top Tutor award at The Profs in 2016.

Client testimonials are at: https://www.eekaytee.com/testimonials

I am a quantitative consultant with a multi-disciplinary background (MA Economics from Cambridge, PhD Financial Econometrics and MSc Finance from Imperial). This enables me to teach a wide range of subjects (Mathematics, Programming, Data Science / Artificial Intelligence, Finance) over many levels ranging from A-Level to professional standards. This also enables me to mentor clients along a growth path, e.g. I can advise an A-Level student which areas of Mathematics are most important for Economics and Finance degrees.

Through my PhD and research I have gained extensive computing skills, namely in Python, MQL4, Matlab, R, SQL, C++ and Java. I have been a quantitative tutor and consultant for The Profs for over 8 years (over 100 clients and over 1000 sessions and hours completed).

Previously, I worked at Accenture in the areas of Business Intelligence, ERP, Finance and Performance Management, and Change Management. This included creating user training materials for 2 multinational companies and delivering the training for one of them.

Tutoring Experience

1000+ Sessions, 100+ Clients, over 8 years of experience. Strong client testimonials are at: https://www.eekaytee.com/testimonials

Quantitative Consultant working with professionals and A-Level up to postgraduate students in the areas of:
Programming (C++, Java, Python, R, Matlab, SQL) and Algorithmic Trading (MQL4, JForex) - 23 clients
Data Science / Artificial Intelligence / Machine Learning, Econometrics / Statistics - 20 clients
Mathematics for Economics and Finance - 8 clients
Finance, Derivatives (e.g. LSE FM212) - 26 clients

Highlight:
Assisted former Global Head of Conduct at HSBC with Artificial Intelligence MSc courses:
1) C++ and Matlab programming for a self-driving robot, she received a mark of 70%. Video testimonial at http://www.eekaytee.com/self-driving-robot (C++ 2-4-2 MLP Neural Network with tanh Activation Functions)
2) Mathematical preparation for Robotics and Neural Networks exams, she received marks of 75% for both

I have delivered Python group training for WiredScore for 2 years, and have delivered group training for 3 other sets of clients (Statistics, Trading)

Previously, I was a trainer for a two day course in Business Objects reporting software - this included creating the course material

Selected client backgrounds with numbers in brackets: Professional (30), LSE (20), City University / Bayes (13), King’s College London (6), UCL (7), Cambridge (2), Imperial (1)

Tutoring Approach

I treat every client uniquely (everyone has strengths which enable them to relate to material differently) and kindly (there are no bad questions). My aim is to help clients grow to become independent and able to learn on their own.

I prefer to work online via Teams and OneDrive as online meetings can be more flexible. Also I request a minimum of 10 hours work together as there is preparation time involved in setting up our material. My working hours are 12-8pm on weekdays.