Armand | Civil Engineer at Beal Consulting Engineers

Armand

Civil Engineer at Beal Consulting Engineers

Based in Pretoria, South-Africa

About

As a civil engineering graduate from the University of Johannesburg, I have dedicated my career to the construction and consulting engineering sectors, where I've honed my analytical skills and problem-solving abilities. However, my insatiable curiosity led me to embark on a journey into the realm of data science. Driven by a passion for uncovering insights and harnessing the power of data, I've embarked on a transformative path. Currently pursuing my MSc in Data Science at the University of Johannesburg, I'm focused on predictive modeling of data sourced from IoT sensors using cutting-edge machine learning techniques.

Skills

Projects

Predicting housing prices in King County USA

This project uses machine learning to predict housing prices in King County, USA, based on factors like room count, floor area, and location. It helps real estate professionals and buyers/sellers make informed decisions by providing insights into market trends.

Extracting and Visualizing Stock Data

This project merges web scraping and the Yahoo Finance API to analyze and visualize Tesla and GameStop stock data, revealing trends in daily prices, trading volumes, and correlations. The visualizations empower investors with actionable insights for navigating the dynamic stock market

SpaceX Launch Prediction

This project predicts SpaceX Falcon 9 launch outcomes using data from the SpaceX API and Wikipedia. Steps include data collection, web scraping, and analysis. Insights are visualized and a machine-learning model is built for launch success prediction

Binary Image Classifier using Scikit-learn

This project aims to classify images as either faces wearing masks or faces without masks using four machine learning models: Naive Bayes, Stochastic Gradient Descent, Logistic Regression, and Support Vector Machine.

Experience

2020 - 2023

Site Engineer at Concor Construction

A site engineer overseeing the construction of large-scale infrastructure projects, ensuring they were completed within budget, on time, and to the highest quality standards. Responsibilities included managing resources efficiently, maintaining project schedules, and implementing rigorous quality control measures.

2023 - Present

Civil Engineer at Beal Consulting Engineers

Resident engineer tasked with overseeing the construction of infrastructure projects, ensuring strict adherence to applicable standards and specifications while maintaining optimal quality standards. Responsibilities include offering design solutions and addressing technical challenges encountered during site operations.

2024 - Present

MSc Post-graduate Student at the University of Johannesburg

Post-graduate student working towards an MSc in Data Science with a research focus of the analysis and predictive modelling of data received from IoT sensors.

Education

2015-2019

BEng Civil Engineering at the University of Johannesburg

Undergraduate degree in Civil Engineering, focusing on mathematical problem solving skills, Analysis of structures, and Civil engineering design.

2024 - Current

MSc Data Science at the University of Johannesburg

MSc in Data Science research at the University of Johannesburg with a research focus on the analysis and predictive modelling of data from integrated IoT sensors.