STEM MBA Candidate at American University's Kogod School of Business (Washington, DC · Expected May 2027 · GPA 3.8/4.0) with 7+ years of software engineering experience in data integration, forensic audits, and operational analytics. Built mission-critical decision-support systems for the U.S. Department of State / U.S. Embassy (formally commended by the U.S. Ambassador) and high-throughput financial data pipelines serving Capital One.
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Business Analyst · Nov 2022 – Sep 2025
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Software Engineer · Nov 2021 – Nov 2022
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Software Developer · Jul 2018 – Nov 2021
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High-Performance 2-Column Bento Grid · Click any button to launch the live WebGL/interactive application.
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Hardware-accelerated 3D WebGL spatial intelligence platform mapping $550.2B in charitable capital flow. Features interactive 3D Globe arcs, Plotly econometric log-log outlier detection matrices, and D3 TopoJSON US Choropleth with sub-millisecond tooltip tracking.
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Autonomous 6-stage analytics pipeline with Three.js bioluminescent wave canvas: Raw CSV ingestion → schema inference → statistical profiling → Z-score & CUSUM anomaly detection → Holt-Winters forecasting → Claude AI executive briefing synthesis.
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18-month forward predictive demand model for U.S. Retail & Food Services Sales using Holt-Winters triple exponential smoothing on 10+ years of Federal Reserve macroeconomic data. Includes Three.js constellation canvas and interactive Hyperparameter Tuning Studio.
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Priority-aware greedy constraint-satisfaction scheduling engine built to resolve complex diplomatic constraints: 180 high-priority meeting requests across 20 secure rooms and 150 cleared personnel with Three.js 3D kinetic lattice and live stress test simulation.
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Statistical regime-shift monitor applying Z-score, IQR, and CUSUM algorithms across 26 years of FRED macroeconomic time series (1998–2024). Isolates structural breaks, recession shocks, and inflationary surges with real-time algorithm comparison.
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Production-grade data integrity validation framework executing 7 discrete check categories (completeness, referential integrity, schema drift, distribution boundaries) across 15 enterprise sources with automated health scoring and SLA telemetry.
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Interactive econometric "what-if" simulation engine: dynamically adjust Federal Reserve discount rates, CPI inflation, and unemployment metrics to model GDP growth trajectories and calculate recession probabilities using embedded FRED benchmarks.
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Digital intervention platform connecting university students in acute distress with campus resources. Uses Gemini AI for multi-dimensional triage across mental health, emergency housing, food insecurity, and academic standing with zero stigma.
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Programming & Data • Python • SQL / MySQL • Java • R • C / C++ • DuckDB • Pandas / NumPy • RESTful APIs |
Analytics & Modeling • Power BI • Excel (Advanced/VBA) • Streamlit • statsmodels • Time-Series Forecasting • Holt-Winters Smoothing • Error Metrics (MAE/RMSE/MAPE) • Predictive Analytics |
Applications & Cloud • Flutter (Mobile/Web) • Power Apps • Power Automate • SharePoint • AWS S3 • Microsoft Azure • Docker Containers • Git / GitHub Actions CI/CD |
Frontend & 3D WebGL • Three.js • Globe.gl • D3.js (TopoJSON) • Plotly.js • Chart.js • React / Next.js • TypeScript • Tailwind CSS |
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American University, Kogod School of Business · Washington, DC
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Maharishi Dayanand University · Rohtak, India
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akbknight.github.io · Washington, DC · (202) 415-4366 · ak8335a@american.edu


