Lawrence Tinago is an analytical and solutions-oriented Python Full Stack Developer with a track record of driving technical projects across diverse domains. With a focus on data infrastructure, small-scale software development, Machine Learning, and Web Development, Lawrence excels in automating business processes to enhance efficiency.
Work Experience:
Python Developer
Freelancing
Jan 2023 β Current
- Biolev (biolev.com) β Automation Developer
- Kami Workforce (kamiworkforce.com) β Backend Developer
- ITGIS Worx (itgisworx.co.za) β Web App Developer
- Upwork.com
Process Automation Engineer (Python FullStack)
Directech Pty Ltd
Jan 2020 β June 2023
- Developed and maintained product data tracking systems using Python, PosgreSQL, PyQt, HTML, CSS, and Azure.
- Created live dashboards to monitor company performance.
- Responsible for developing project-specific software products to automate tasks and ensure quality data analysis and presentation.
Process Engineer (Solutions Architect)
Directech Pty Ltd
Jan 2017 β Dec 2019
- Developed and integrated tools for monitoring organizational performance.
- Optimized business processes for cost efficiency.
- Conducted systems analysis and led daily continuous improvement events.
Continuous Improvement Coordinator
Olivine Industries Pty Ltd
Jan 2014 β Sep 2016
Personal Projects:
- Online shop: Developed an online shop for selling headphones.
- Portfolio: Created a portfolio website to showcase development skills.
- Transportation App: Developed an app to connect and control truckers with customers.
Education:
Certificates:
- IT Automation with Python (Google)
- Programming with Javascript (Meta)
- Data Science Professional (IBM)
- Big Data Analysis Specialization (Cloudera)
- Business Analytics Specialization (University of Pennsylvania)
- Statistics with Python Specialization (University of Michigan)
- Machine Learning Certificate (Stanford University)
- Microsoft Azure Fundamentals Specialization (Microsoft)
Formal Education:
- Bachelor of Social Science (Psychology) β University of KwaZulu Natal (South Africa) (2011-2012, incomplete)
Machine Learning Skills:
- Supervised Learning (Regression, NN, NaΓ―ve Bayes, SVM, Decision Trees)
- Unsupervised Learning (Clustering)
- Deep Learning (Neural Networks, Tensorflow, Keras)
- Computer Vision (OpenCV, Object Identification and Detection, Object Tracking)
- Data Pipeline (ETL/ELT)
- Data Cleansing (Feature Engineering, Transformation)
- Data Visualization (Matplotlib, Seaborn, ggplot)
- Model Deployment (Web App Development)
| π Nationality | πΏπΌ Zimbabwe |
| π‘ Residency | πΏπ¦ South Africa |
| π Location | πΏπ¦ South Africa |
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rok.co/@lawt90gmailcom |
| π Website | sdfljasfjkhsdfajsf βοΈ Upgrade to Premium to contact |
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| Skilled in | python js html css backend django flask postgresql sql linux excel aris machine learning deep learning tensorflow keras pytorch numpy pandas scikitlearn data science data anaysis tensorflow opencv computer vision cnn supervised learning unsupervised learning reinforcement learning api restapi |
| Fluent in | englishshona |
| Preferred timezone | Any timezone |
| Preferred annual pay (min) | $30,000/year |
| Preferred hourly pay (min) | $12/hour |
| Last seen | 4 months ago |
| Signed up | 3 years ago |
| Badges |
π¨βπ» Remote worker π¨ Maker π Early adopter |
2022 - current: Python Developer @ Biolev
2020 - 2023: Automation Engineer @ Directech Pty Ltd
2021 - 2022: IT Automation with Python @ Google
2021 - 2022: Programming with Javascript certificate @ Meta
2019 - 2020: Diploma in Machine Learning with Python @ Alison
2019 - 2020: Data Science Professional Certificate @ IBM
2011 - 2012: Bachelor of Science @ University of KwaZulu Natal