Kabelo Phiri
Data Scientist
Pretoria
Summary
Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.
Overview
8
8
years of post-secondary education
7
7
Certificates
Work History
Data Analyst
Future Families
Pretoria
05.2022 - 08.2022
- Researched and resolved issues regarding integrity of data flow into databases.
- Extracted and interpreted data patterns to translate findings into actionable outcomes.
- Worked with M&E officers to Improved outreach services by 10%
- Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations for business users.
Data Collector Enumerator
Statistics South Africa
Pretoria
02.2022 - 04.2022
- Gathered and submitted observational information in addition to required data points for weekly targets using PowerBI dashboards
- Entered responses from survey participants into internal database using Survery123 to later compile reports or conduct analysis.
- Used strong and eloquent speaking skills in delivering questions to survey participants by phone and prompting responses to complete questionnaires.
Education
Bachelors in Engineering - Mechanical Engineering
University of Pretoria
Pretoria 01.2015 - 12.2022
Skills
Written Communication
Problem-Solving
Microsoft SQL Server
Data Modeling Design
Machine learning (Naive Bayes,Boosting Algorithms, Classifications)
Data analysis and modeling (Python ,R-Studio)
Statistics and probability
Calculus, Linear Algebra and Differential Equations
Accomplishments
- Achieved top 8 design by completing design and research with accuracy and efficiency.
- Supervised winning team of 8 multidisciplinary students for the 2021 AFSTIA/UNESCO Youth innovation bootcamp
- Elected to Class Rep for Final Year,Mechanical Group 2021
Certification
Machine Learning - Stanford Online
Timeline
Data Analyst
Future Families
05.2022 - 08.2022
Data Collector Enumerator
Statistics South Africa
02.2022 - 04.2022
Bachelors in Engineering - Mechanical Engineering
University of Pretoria
01.2015 - 12.2022
Project History
EY Working World Data Challenge, 2022
· Created a successful classification model for frog specie occurrences by using weather and geolocation data in Australia.
American Express – Default customer prediction, 2022
· Produced a probabilistic model to predict the probability a customer will default on their credit card payments