Tawananyasha Mtisi

Professional photo of Tawananyasha Mtisi

Big Data Analytics Graduate | Full Stack Developer | Data Analyst

Specializing in data-driven solutions, machine learning, and interactive dashboards

Technical Skills

Programming & Databases

  • Python (Pandas, NumPy, Scikit-learn)
  • SQL & MySQL
  • JavaScript
  • PHP

Big Data & Analytics

  • Hadoop & Spark
  • Machine Learning
  • NLP
  • Statistical Analysis

Web Development

  • React.js
  • HTML5/CSS3
  • Bootstrap
  • Responsive Design

Tools & Platforms

  • Streamlit
  • Git
  • IBM Cloud
  • RESTful APIs

Featured Projects

CRM Data Pipeline

Production‑ready data pipeline that ingests raw people and companies data, cleans and enriches it (phone numbers, deduplication, standardisation), and loads it into a SQLite database. Features interactive Streamlit dashboard, unit tests with pytest, and structured logging. Handles 500+ contacts and 100+ companies with company matching.

Python Pandas SQL Streamlit SQLite pytest Logging Data Pipeline

FIFA World Cup Sentiment Analysis

Developed a real-time Twitter sentiment analysis system using NLP and Naive Bayes classification. Achieved 85%+ accuracy in sentiment classification and deployed an interactive Streamlit dashboard.

Python Pandas Scikit-learn NLTK Streamlit Plotly NLP Machine Learning

COVID-19 Analytics Dashboard

Built an interactive dashboard processing global pandemic data with real-time visualization. Implemented data cleaning and aggregation procedures for 10,000+ records using Pandas.

Python Streamlit Plotly Pandas Data Visualization

The Midweek Show - Full Stack Web Application

Developed and deployed a full-stack media portal using PHP/MySQL backend architecture. Optimized database queries achieving 30% faster load times and implemented responsive design ensuring 95% mobile compatibility.

PHP MySQL JavaScript HTML5 CSS3 Bootstrap Full Stack

IMAX Books Website

Full-stack author website with PHP/MySQL backend that increased client's book sales by 15%.

HTML CSS JavaScript PHP MySQL

Finance Assist

Financial dashboard with React.js frontend featuring interactive data visualization.

React Chart.js CSS

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