Sino Zwane

I'm a Data Scientist

About

I’m a data scientist with an unrelenting curiosity for uncovering insights hidden in data and exploring the endless possibilities of the cloud. My journey started in medical sciences, where I developed a keen eye for precision and problem-solving—skills I now apply to tackle real-world challenges in the world of data. Whether it's finding patterns in complex datasets or crafting innovative solutions, I’m driven by the power of data to make an impact. I’m constantly learning, experimenting, and finding new ways to use technology to shape the future.

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Data Scientist

  • Website: siino-z.github.io
  • Phone: Available on request
  • City: Pretoria, South Africa
"The only way to do great work is to love what you do."
— Steve Jobs

Skills

These are my current core technical skills in data science and analytics. I am continually building on these foundations and cultivating new expertise to stay at the forefront of the field.

Data Analysis (Python, SQL) 80%
Machine Learning (Scikit-Learn) 60%
Cloud Fundamentals (AWS, Azure) 40%
Data Visualization (Power BI, Tableau) 80%
Data Cleaning & Preprocessing (Python, SQL) 80%
Communication & Presentation 80%

Tech Stack

This is my current technology stack, encompassing tools and platforms I utilize across the data science pipeline, from data collection to model deployment.

Data Collection & Storage

SQL, PostgreSQL, MongoDB, AWS S3

Data Cleaning & Preprocessing

Python (pandas, numpy), AWS Glue

Data Exploration & Visualization

Matplotlib, Seaborn, Tableau, Power BI

Machine Learning & Modeling

Scikit-Learn, TensorFlow, PyTorch, XGBoost

Deployment & Serving

Flask, FastAPI

Version Control & Collaboration

Git, GitHub, GitLab, Jupyter

Resume

Here is an overview of my professional experience, education, and key projects that demonstrate my skills in data science, machine learning, and cloud computing.

Summary

Sinothabo Zwane

Medical Science graduate turned data scientist with a strong foundation in analytics and a growing passion for cloud computing. Skilled in Statistical Analysis, Python, SQL, and data visualization, with hands-on experience in AWS and a focus on expanding my expertise in Machine Learning and Cloud Engineering.

Education

Certificate in Information Technology: Systems Development (NQF 5)

June 2024

ExploreAI Academy

Specialized in Python programming, data analysis, machine learning, and cloud computing with AWS.

Bachelor of Medical Science

April 2017

University of KwaZulu-Natal

Major: Physiology; Minors: Microbiology and Biochemistry.

Professional Experience

Institutional Planning, Monitoring & Evaluation Intern

August 2024 - Present

Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa

  • Automating KPI tracking using Power Query, slashing manual reporting time by 30% and enabling real-time decision-making.
  • Developing dynamic Power BI dashboards to visualize organizational performance, presented to executives via polished PowerPoint briefings.
  • Built an Excel-based project tracking system to align deliverables with strategic goals, praised for its clarity and efficiency.

Data Science Intern

February - June 2024

Sand Technologies, Remote

  • Led data collection and cleaning initiatives, improving model prediction accuracy by 20%.
  • Utilized AWS to enhance data processing and streamline model deployment.
  • Developed a predictive model web app with Streamlit, integrating Power BI for visualization.

Portfolio

Explore my projects across data analytics, machine learning, and cloud computing.

Movie Recommendation System

Created a recommendation system using collaborative filtering and matrix factorization techniques.

Multivariate Predictive Maintenance

Developed a model for real-time failure prediction using AWS, Power BI and Streamlit.

World Economic Report

Analyzed global economic trends by examining key indicators such as GDP growth, internet penetration, life expectancy, employment, and demographic factors.

Credit Fraud Detection

Buit a model to detect fraudulent credit card transactions based on transaction data, using machine learning tools.

Coming Soon

Stay tuned for more exciting projects in data science and machine learning.

Coming Soon

Stay tuned for more exciting projects in data science and machine learning.

Learning Corner

Here’s what I’m currently learning and working towards to deepen my skills and stay updated in the field.

AWS Certified Cloud Practitioner

Currently studying for AWS Certified Cloud Practitioner certification to strengthen my foundation in cloud infrastructure and services.

75% Complete

Microsoft Azure Fundamentals

Exploring Azure cloud services to broaden my multi-cloud skills and capabilities, focusing on Azure storage and compute services.

10% Complete

Python for Data Engineering

Learning data engineering concepts with Python to enhance ETL pipelines and workflow automation for data science projects.

50% Complete

SQL for Data Science

Expanding my SQL knowledge for advanced data manipulation and analysis, including complex joins and subqueries.

50% Complete

Big Data Technologies

Studying big data technologies, including Hadoop and Spark, to work with large datasets efficiently and apply data processing techniques.

10% Complete

Machine Learning Specialization

Enrolled in a machine learning specialization course to enhance my skills in deep learning frameworks, including TensorFlow and PyTorch.

20% Complete

Latest News and Trends in Tech

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