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Schedule Interview NowMy name is Lawrence C. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Python, SQL, Data Analysis, Model Fitting, Data Cleaning, etc.. I hold a degree in , Master of Education (MEd), Bachelor of Arts (BA). Some of the notable projects I've worked on include: Data Science Job Postings with Salaries (2025), The Ugly Professor? Professor evaluations vs physical appearance, Trends & Explicitness in Spotify Songs (EDA + Modeling), AWS Weather API Project, Telco Churn Prediction Model, etc.. I am based in Atlanta, United States. I've successfully completed 8 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
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Potentially possible
KaiMate NZ Ltd.
This dataset contains data science job postings with salary information, collected and processed in 2025. It is designed for projects in salary prediction, job market analytics, and machine learning r
The data are gathered from student evaluations for 463 courses taught by a sample of 94 professors from the University of Texas at Austin. Also, six students rate the professors' physical appearance.
Exploring 237k Spotify tracks to see how music—and explicitness—have changed over time.
Built an AWS Pipeline from an API to Visualizations
Our goal is to train and fit a model to predict customer churn. We will try two models and choose the better one.
in Completed a number of data science - related certifications.
2024-01-01-2025-01-01
Master of Education (MEd) in
1993-01-01-1995-01-01
Bachelor of Arts (BA) in
1982-01-01-1986-01-01