About
I'm Alex some of you might know me as wuuthraad, I am a Data Scientist and aspiring Machine Learning Engineer! I have a few years of experience building ML models and ML pipelines, I am fairly active on competition websites like Kaggle and Zindi and I have been experimenting with containers specifically kubernetees(K8s). All I know I taught myself with help from amazing people and great websites Getting into the field of data science was intimidating at first not knowing anything and doubting myself...I stuck to it and have become really great at building quality Machine Learning Models and extracting relevant information from data. It's really astounding how simply combining intuition, creativity and playing with some data could give so many insights and visions about a Business, Product , Country or a Sports Team, The list is endless. Just being part of the AI field, which always has your on me on my feet needing to adapt at a moments notice has been an interesting journey I have met some really great people along the way. I have contributed a few things here and there. There's nothing more I love than a challenge and My journey down this rabbit-hole has been nothing but exhilarating,There is a lot more I still have to learn and there is still a lot more I can give.
Data Scientist.
- Birthday: 9 June 1999
- Website: www.wuuthraad-x.github.io
- Phone: +27 67 018 8174
- City: South Africa , Johannesburg
- Email: thetripeg@gmail.com
- Freelance/Collaborations: Available
Technical Skills
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and ideas from many structural and unstructured data. It is often associated with Big Data and data analytics.
General Skills
Resume
Sumary
Alex Mulaji
I'm a
- Aspiring Machine Learning Engineer
- Kaggler (Unranked)
- Zindian (rank 141)
Education
Data Science
2020 - Present
During this period I learned and Practiced(I Still practicing and always improving) Data Science through courses on Edx and later started competing in machine learning competitons , Reason : because the best way to learn data science is to do data science I also became highly proficient in python and as well as proficient in many o machine learning frameworks to list a few sklearn , numpy and pandas. I am decent with in SQL
Volunteering
June 2022 - present
American Corner makers valley
During this period I volunteered my time helping with the digital literacy class held at makers valley
Certificates
All obtained
Languages
- french
- english
Hobbies
- Watching Movies
- Meeting Interesting People
- Gaming
- programming
Languages
- french
- english
Hobbies
- Watching Movies
- Meeting Interesting People
- Gaming
- programming
Services
As a Data Scientist as well as a frequent participant in Machine Learning competitions and I have been exposed to a variety of business problems and have a well-rounded understanding of what solutions businesses are looking for , I translate data into valuable and comprehensible insights. My goal is to improve results, make the right decisions and save costs.
I am experienced in machine learning, supervised and unsupervised algorithms and use data visualization techniques to present the results. I use SQL, Python and PowerBI for my data projects
Data analysis
I am well-versed in analyzing data and feature engineering for Machine learning models. Results, trends and recommendations are clearly presented in reports or tools. (example)
Data analytics
Get more value from your data with prediction models and machine learning techniques, for example by predicting behavior or targeting the right customer.
Dashboards
Dashboards show the most recent results in an interactive way. By clicking and drilling, you will examine trends and patterns yourself.
Contact
As a person in the machine learning space, I know exactly how you can use data whether it is a business. Based on your objectives, we will make a plan to reach the right insight.
I am available for:
• Computer Vision projects
• Machine Learning projects
• Data analysis
• Data analytics (prediction models, segmentations)
• Data visualisation (infographics, dashboards)
• Data projects
• Presentations (storytelling, how to present data, how do other businesses use data?)