Simeon Hauser
AI-assisted Python, CSV cleanup and reporting
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Procedural motion study: a flexible chain changing shape in a seamless loop. A self-initiated, AI-assisted Python animation with synthetic geometry and fixed segment lengths. This is a design/implementation demo, not molecular dynamics, measured protein data or a scientific result. Client references and scientist review would define any final biological animation. Rendered locally with existing tools; no paid generative-video subscription was used.
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Marktlabor design study: the AI-generated visual concept used to plan the market dashboard shown elsewhere in this portfolio. The layout groups overview metrics, a filterable instrument table and a selected-instrument chart. This is an early design mockup with placeholder values and illustrative chart data, not a live application screenshot or a separate client engagement. The implemented prototype is presented as a separate work sample.
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Marktlabor: a self-initiated market research dashboard built with AI assistance. Python prepares daily market data and a JavaScript interface provides instrument filters, watchlists, trend indicators, charts and CSV exports. This screenshot shows the working prototype using a dated historical snapshot. It demonstrates data tooling and interface implementation; it does not establish future investment returns or offer trading advice.
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CSV-to-PDF reporting extension. This working Python/ReportLab component turns validated records into a readable PDF with separate currency totals, a row-level table and source traceability. Existing output files are protected from overwriting. Part of the same CSV workflow demo shown in this portfolio, built with AI assistance and tested using synthetic records. The image shows the generated PDF, not a client document.
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