Summary
Overview
Work History
Education
Skills
Certification
Timeline
Tech Stack
References
Wisdom Banda

Wisdom Banda

Junior Data Analyst
Kempton Park

Summary

Highly motivated individual with a strong academic foundation in quantitative, data analysis, statistics, and business intelligence. Proven ability to collect, analyze, and interpret large data sets, and develop data-driven solutions to drive business improvement and cost reductions. Proficient in SQL, Python, and data visualization tools like Tableau. Demonstrated understanding of machine learning algorithms and their application. Excellent problem-solving skills, with a knack for turning data into actionable insights. Eager to apply these skills as a Junior Business Data Analyst.

Overview

2
2
years of professional experience
6
6
years of post-secondary education
3
3
Certificates
1
1
Language

Work History

Freelancer

Several Clients
12.2022 - 01.2024

Projects:

  • Ported open source machine learning application from Windows to iOS.
  • Using ChatGPT integration, I created an application that can access and upload files from Google drive which generates a report about the data visually, which increased the client's productivity by 30% and has access to new insights on their data.
  • Developed a model to check corrupted files/documents, which efficiently identified anomalies in data and increased performance by 25%, while maintaining integrity and security.
  • Assisted in identifying areas of improvement, developing reports, and collaborating with stakeholders to improve operational efficiency by 30%.
  • Performed consultation services for several clients which gave them an insight on how to improve their business and/or project.
  • Designed, Developed and Maintained databases using MySQL to write and update queries.

Technologies and Methods used:

  • PyTorch, DeepLive
  • .Net
  • OpenCV, Keras
  • Python, Java, R, C/C++
  • Deep Learning and Neural Networks
  • Quantitative Analysis
  • MySQL, PostgreSQL
  • Microsoft Excel
  • GitHub and Version Control
  • SAS, Matlab
  • SAP Toolset (DataSphere)
  • Statistical Analysis

Work Study Student

Students
02.2022 - 10.2023
  • I successfully assisted or tutored students in passing their tests and exams.
  • Identified key points and topics in which students struggled and facilitated one-on-on sessions to improve understanding.
  • I lead my group in the design and development of a database group project, while applying DevOps, Agile approaches that ensured the success of the project, the end result was 76% average.


Education

Bachelor of Science - Computer Science With Electronics

North West University, Mafikeng, North West
02.2019 - 06.2024
  • Software Engineering
  • Operating Systems and Linux
  • Databases & SQL
  • Artificial Intelligence
  • Data Structures and Algorithms
  • Computer Networks
  • Advanced Analogue and Digital Electronics
  • Intro to Microcontrollers and Embedded Systems
  • Advanced Calculus and Linear Algebra
  • Python, Java, C#, C/C++ Programming

Specialization - AI Engineering

IBM
09.2023 - 01.2024

Verification: https://coursera.org/verify/professionalcert/VQ29YCX7PDLJ


This course covered:
Advanced Calculus Theory and Applications
Advanced Linear Algebra Theory and Applications
Principal Component Analysis (PCA) Theory and Applications
Image Processing
Advanced Statistical Analysis using Python
Linear and Non-Linear Regression Analysis
Deep Learning Neural Networks
Advanced Machine Learning Techniques
Applications using PyTorch, Keras, TensorFlow
Practical Lab Assignments

Specialization - Business Intelligence (BI)

Google
04.2001 -

Verification: https://coursera.org/verify/professionalcert/3FY5FD8EHLP2


The course covered:

  • Business Intelligence Essentials
  • Excel for Data Analysis
  • Advanced Data Visualization and Dashboards with Excel, Tableau
  • Relational Databases (RDBMS)
  • SQL: Practical Approach
  • Data Warehousing and BI Analytics
  • Statistics using Excel
  • Tableau Software
  • Big Query
  • Hands-on real world applications

Specialization - Mathematics For Machine Learning

Imperial College London
04.2001 -

Verification: https://coursera.org/verify/specialization/3PMRMXS2S3PQ


This course covered advanced topics:

  • Advanced Calculus and Linear Algebra for Machine Learning
  • Quantitative Analysis
  • Stochastic Calculus
  • Principal Component Analysis (PCA)
  • Statistical Analysis
  • Advanced Python Programming

Skills

    SQL & Database Management

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Certification

Google Business Intelligence (BI) Analyst

Timeline

Google Business Intelligence (BI) Analyst

01-2024

IBM AI Engineering Professional

01-2024

Mathematics for Machine Learning

01-2024
IBM - Specialization, AI Engineering
09.2023 - 01.2024
Freelancer - Several Clients
12.2022 - 01.2024
Work Study Student - Students
02.2022 - 10.2023
North West University - Bachelor of Science, Computer Science With Electronics
02.2019 - 06.2024
Google - Specialization, Business Intelligence (BI)
04.2001 -
Imperial College London - Specialization, Mathematics For Machine Learning
04.2001 -

Tech Stack

  • MySQL
  • Springboot
  • Kubernetes
  • Maven
  • Git and Github
  • Continuous Integration and Development
  • Java 8/11

References

1. Name: Prof. Francis Lugayizi
Position: Associate Professor & Subject Chair: Mafikeng campus
Phone: +27 18 389 2623
Work Email: Francis.Lugayizi@nwu.ac.za
Location: Building A12 (New Science Building), room G02, North West University
Qualification: PhD Computer Science (NWU)


2. Name: Karabo Mashabane
Position: Civil Engineer - Road and Transport
Email: karabomashabane1@gmail.com
Phone: 071 015 6601
Location: Zutari, Pretoria
Qualification: BEng Civil Engineering (University of Cape Town)
Relation: Mentorship

Wisdom BandaJunior Data Analyst