About Me

𝗪𝗵𝗼 𝗮𝗺 𝗜?

I am a passionate data scientist, specializing in machine learning.

𝗪𝗵𝗲𝗿𝗲 𝗱𝗼 𝗜 𝗴𝗲𝘁 𝗺𝘆 𝗽𝗮𝘀𝘀𝗶𝗼𝗻?

Every time I come across a new technique or model, I am immediately filled with excitement, eagerly contemplating ways to apply it to my future projects. This love for learning drew me to data science, as acquiring knowledge in this field felt both practical and exhilarating. Witnessing the incremental improvement of a model's accuracy by just a percent brings me a great sense of validation, further strengthening my love for this domain. Motivated by this passion, I pursued and completed my postgraduate diploma in the field. Backed by a degree in application development, I was able to disregard how technically difficult a task was and rely solely on my imagination. As a result, I eventually graduated as the top student in South Africa.

𝗪𝗵𝗮𝘁 𝗮𝗺 𝗜 𝗰𝗮𝗽𝗮𝗯𝗹𝗲 𝗼𝗳?

I am capable not only of all aspects of data science but also of software development. Although, if I had to pick one thing that I thought I was truly good at, it would be my ability to improve model performance, often through advanced feature engineering and occasionally pulling correlated data from unrelated sources.

𝗪𝗵𝗮𝘁 𝗱𝗼 𝗜 𝗱𝗼 𝗶𝗻 𝗺𝘆 𝗳𝗿𝗲𝗲 𝘁𝗶𝗺𝗲?

I find myself fairly unable to relax if I am not being productive. One of my favourite activities is browsing code from past data science competitions and seeing the ingenious methods that some people utilize to get that extra percent. Additionally, I like to enter competitions myself, and sometimes I'll play a game or two with my close circle, which I have worked hard to maintain.

𝗔𝗺 𝗜 𝗰𝗮𝗽𝗮𝗯𝗹𝗲?

Although my current work experience might not immediately give off the impression of my capabilities, I have distinguished myself in certain Data Science competitions and demonstrated that I can compete with some of the world's finest talents.

Skills
Python
Technical Writing
Data Science
Data Analytics
Market Data
Databases
Microsoft Power BI
Machine Learning
SQL
Java
Jupyter Notebook
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Communication
Data Pipelines
Data Collection
Data Visualisation
Data Warehousing
Data Modelling
Data Cleansing
Data Integration
Data Architecture
C#
Software Development
Android Studio