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Design and optimize basement parking in AutoCAD: draft ramps, parking blocks, circulation and zoning plans, multilevel sections, and fire protection into construction-ready drawings.
Build decentralized applications: use Hardhat and Ether.js/Web3.js, design HTML/CSS/JavaScript front ends, integrate smart contracts, handle transactions and state, then test and deploy to testnets.
Navigate the US GAAP framework: FASB's standard-setting process, ASC 105 as authoritative source, and ASC 205 presentation of comparative statements, discontinued operations, and going concern.
Light and render architectural scenes in Autodesk Maya with Mental Ray: compare light types, tune occlusion shaders and reflections, organize render layers, and optimize final output.
Texture architectural interiors in Autodesk Maya: organize scene assets, assign shaders in Hypershade, UV map furniture, walls and doors, add bump maps, and lay out room flooring.
Build production-ready Spring Boot applications with Actuator monitoring and custom metrics, MongoDB through Spring Data, microservices, YAML environment profiles, and AJAX file uploads.
Apply Agile practices: run Scrum events, write user stories with acceptance criteria, estimate with Story Points and Planning Poker, and prioritize backlogs using Kano, NPV, and MMFs.
Interpret facial expressions, posture, and behavioral cues, then apply handshakes, eye contact, gestures, and spatial awareness to project confidence in meetings, presentations, and interviews.
Create statistical graphics with Seaborn in Python: scatter and line plots, semantic mappings, FacetGrid, plus boxplots, violin plots, swarmplots, barplots and catplot() comparisons.
Create and customize Matplotlib charts in Python: line plots, figures and axes, annotations, polar and pie charts, pseudocolor meshes, streamplots, and style sheets.
Create and customize Seaborn plots in Python, from foundational charts to statistical, distribution, and multivariate visualizations, plus data prep and exploratory analysis workflows.
Write Oracle PL/SQL programs: structure blocks, declare variables, embed SQL, apply loops and cursors, handle exceptions, and use records, %ROWTYPE, and Index-By Tables.
Learn to model credit risk: estimate probability of default, loss given default and expected loss, apply Altman Z-scores, and use internal rating systems on airline case studies.
Learn to model credit risk in banking: analyze Probability of Default, Loss Given Default and Exposure at Default, calculate Expected Loss, and distinguish settlement from pre-settlement risk.
Build, schedule, and monitor Azure Data Factory pipelines: configure datasets and triggers, create copy activities, debug failed runs, and parameterize Data Lake integrations.
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