I learned how to code with different online and offline courses, using different sources such as stackoverflow to debug issues. I attain new skills with each project. Below is a brief view of my learning path.

My learning path

2016

Bayes Business School Actuarial Science BSc: This course encopassed insurance valuations, coding projects with different programming languages and mathematical finance subjects.

2019

  • Learn Python: Learned the basics of Python.

  • Hackerrank: Solved problems from beginner to intermediate on Hackerrank.

2021

  • In my previous job as a Data Entry administrator, I used Python, Selenium and functional algorithms to automate data entry.

  • I also automated weekly reports such that by running a pyfile. The report data visualizations would be created then emailed.

2022

  • Joined my current project with DWP. Began learning about and using the products I had permissions for in AWS. Also learning the business aspect in regards to the data.

2023

PCEP™ – Certified Entry-Level Python Programmer: Validates the ability to accomplish coding tasks related to the essentials of programming in the Python language as well as the skills in resolving typical implementation challenges with the help of the Python Standard Library.

AWS Certified Cloud Practitioner: Validates foundational, high-level understanding of AWS Cloud, services, and terminology.

PCAP™ – Certified Associate in Python Programming: Validates the ability to design, develop, debug, execute, and refactor multi-module Python programs, as well as modeling real-life problems in OOP categories with the use of the fundamental notions and techniques available in the object-oriented approach.

My skills:

1 - Basic 2 - Novice 3 - Intermediate

4 - Advanced 5 - Expert

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Programming languages

Python - 4

>>3 years experience

AWS - 3

1-2 years experience

SQL - 1

<<1 year experience
Machine learning

Supervised ML - 4

Classification & regression, binary

Unsupervised ML - 2

K-Means

ML hyperparameter tuning - 3

GridSearchCV
AWS Cloud computing

Pipelines - 2

Notebook instances, AWS Sagemaker Studio

Data wrangling - 4

AWS Sagemaker Studio, AWS Data wrangler

Deployment - 2

Elastisearch
Data analysis

Data wrangling - 4

Pandas, Numpy, AWS Sagemaker

Data visualization - 3

Matplotlib, Seaborn, PowerBI

Statistics - 3

Descriptive, ML model evaluation