Data

Singita Ngobeni

ABOUT ME

Singita Ngobeni is using his time at Umuzi to expand his predictive analytics and behavior analysis capabilities, affording himself the unique opportunity of spearheading projects focused on big data processing.

He’s always focused on using data visualization techniques to increase the usability and accessibility of data.

Singita works extensively with machine learning and data mining techniques to infer marketing insights and forecast sales.


SKILLS

Python Prog. Language
Data Analysis (Statistics)
HTML & CSS Web Development
Web Content Development
Project Management
Microsoft Office 360

EXPERIENCE

Data Scientist and Network Management - Umuzi Academy | 2018

QUALIFICATION

NCIT (SITA) - Umuzi Academy | 2018

INTERESTS

Personal:
Traveling
Music

Professional:

Freelance Data Science Work


PORTFOLIO

Screenshot from 2018-10-01 13-26-01-1 (1).png

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Johan Khanye

ABOUT ME

Johan Khanye is an ambitious and determined data scientist and UX designer, specializing in data extraction, visualization and data analysis.

Johan designs and builds basic, responsive, fast and dynamic websites that fit the clients strengths and needs, not forgetting the website user needs.

He is well versed in deriving viable solutions to complex business problems through big data analysis and management.


SKILLS

Python Programming

Node J.S.

Web Development

Data Analysis

EXPERIENCE

Data Science - Umuzi | 2018

Junior Manager - Jahman Motorcycle Center | 2016

QUALIFICATION

NQF5 - Information Technology Systems Development | 2018

National Certificate in Advertising (NQF Level 5)- Umuzi Academy | 2018

INTERESTS

Personal:
Language Acquisition

Chess

Reading

Socializing

Professional:

Data Analysis

Learning


IS JOHAN THE TALENT YOU'RE LOOKING FOR? 
CONTACT US TO SETUP AN INTERVIEW.

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