Summary
Overview
Work History
Education
Skills
Certification
Project Work
Work Availability
Quote
Timeline
SoftwareEngineer
Ndiene Tshivhase

Ndiene Tshivhase

Graduate Information Technology
Sibasa,Limpopo

Summary

Graduate in IT with a diploma, specialized in software development and business analysis. Proficient in Java and Python, with expertise in data science and experience working with Windows OS. Detail-oriented, innovative, and passionate IT professional, ready to contribute to any organization's success.

Overview

1
1
year of professional experience
6
6
years of post-secondary education
5
5
Certifications

Work History

Data Science Master's Program

Deviare
Johannesburg
06.2022 - Current
  • Utilized analytical and technical expertise to provide insights and proposals to support business improvement.
  • Build predictive models using various machine-learning tools to predict diabetes in patients.
  • Develop algorithms using Natural Language preprocessing and Deep Learning for a better chatbot user experience.
  • Demonstrate knowledge and execution of application programming interface development

Education

Diploma - Information Technology

Vaal University of Technology
Vanderbijilpark
02.2018 - 11.2021

National Senior Certificate -

Lucas Ratshalingwa Secondary School
Limpopo, Thohoyandou
01.2012 - 11.2017

Skills

    Teamwork and Collaboration

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Certification

HTML, CSS, and Javascript for Web-Developers [Coursera]

Project Work

  • Cat vs Dog Classification Using CNN, the main goal for this project was to develop a system that can identify images of cats and dogs, the input data was analyzed and the output was predicted, the model was able to differentiate images of cats and dogs.
  • Comcast consumer complaints, the task of this project was to perform an analysis from the given data and provide a trend chart for the number of complaints at monthly/ daily granularity levels and present further insights. I completed this project using various tools such as pandas, NumPy, matplotlib, and seaborn.
  • Building a chatbot from scratch in python (Using NLTK) the chatbot was built using deep learning techniques, it was trained on the dataset which contained categories(patterns and responses), a special recurrent neural network to classify which category the user’s message belongs to and then it provides a random response from the list of responses.

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote

How many ideas have there been in the history of the human race that were unthinkable ten years before they appeared?
Fyodor Dostoevsky

Timeline

Tableau Training-[SimpliLearn]

11-2022

Deep Learning with Keras and TensorFlow-[SimpliLearn]

10-2022

Data Science with Python-[SimpliLearn]

07-2022

Data Science Master's Program

Deviare
06.2022 - Current

HTML, CSS, and Javascript for Web-Developers [Coursera]

12-2021

Crash Course on Python-[Coursera]

10-2021

Diploma - Information Technology

Vaal University of Technology
02.2018 - 11.2021

National Senior Certificate -

Lucas Ratshalingwa Secondary School
01.2012 - 11.2017
Ndiene TshivhaseGraduate Information Technology