Tlamelo Mokgatlhane

Database · Applications · Analytics · Software

Building things. Improving others. Keeping both simple.

My work sits across enterprise applications, databases, reporting and software development. This is where I keep some of what I have built, learned and occasionally had to fix.

Gaborone, Botswana

Portfolio in progress. Naturally.

About

Building practical systems around real operational needs.

I am a database and applications professional with experience across enterprise systems, SQL databases, reporting, service management and operational support.

I am expanding that foundation through practical projects in Python, data analytics, software engineering, automation and data engineering.

My work sits between technology and operations, with a focus on how systems support people, processes and decision-making.

I value clear documentation, maintainable solutions and technology that remains useful beyond the initial implementation.

Things I've built

A growing collection of projects, experiments and ideas that made it past the notebook stage.

01

Regulatory Applications Analysis

Python portfolio case study analysing synthetic regulatory application data to identify SLA breaches, processing delays, department risk, document issues and early-warning indicators. Includes saved chart outputs, business recommendations, model notes and a companion SQL analytics project.

PythonPandasMatplotlibScikit-learnJupyterGitHub
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02

Regulatory Applications SQL Analytics Database

A PostgreSQL analytics database for synthetic regulatory applications data, including table design, CSV import, SLA reporting queries, reusable views and documentation.

PostgreSQLSQLpgAdminReporting Views
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03

Portfolio Management Backend API

A Spring Boot backend API modelling advisors, customers, portfolios, investment products, appointments, financial goals, risk profiles and transactions. Includes JPA entities, repositories, H2 seed data, REST endpoints, DTO responses, automated tests and release documentation.

JavaSpring BootJPAH2REST APITesting
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04

Operational Reporting Data Pipeline

Python data engineering project that processes raw service ticket data, validates required fields, cleans operational records, generates data quality checks and produces reporting-ready summary outputs through a one-command pipeline.

PythonPandasData PipelineData QualityCSVGitHub
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Elsewhere

A few other places I exist online.

For projects, questions or anything that does not fit neatly into a LinkedIn connection request, email usually works best.