Who am I?

Table of Contents

Hi everyone, I’m Aamir 👋

I am a Freelance Data Scientist, Writer and Tutor, currently working within London, UK.

I specialise in is classical machine learning, data analysis and data visualisations to help solve real-world issues.

My experience includes:

Comparing the effectiveness supervised and unsupervised such as: XGBoost, logistic regression, Random forest and K-means clustering for fraud classification
Optimising classical machine learning models through the use of hyperparameter optimisation methods such as, GridSearchCV
Applying a wide variety of data cleansing, extraction and data analysis to health data to identify trends and assist with hypothesis testing for real-world scenarios
Created a wide variety of data visualisations to assist with correlation analysis, outlier removal and statistical analysis of health data

Education 📚 #

Freelance Data Scientist on Linkedin (Feb 2025 - Present), London, UK
Private Tutor on SuperProf (Nov 2024 - Present), London, UK
Advisor at University of Sussex Business School (September 2022 - May 2023), Falmer, UK.
Editor-in-Chief at Jubilee Times (September 2022 - May 2023), Falmer, UK
Intern MI Analyst at The Pensions Regulator (August 2021 - August 2022), Brighton, UK
President at Sussex Economics Society (June 2021 - August 2022), Falmer, UK

Proficient In: Python, SQL, and R
Familiar With: HTML and DAX
Tools: Jupyter Notebook, PyCharm, LaTeX, Stata, Django, Power BI, Google Colab