Python, SQL Server, Power BI — Built queries and dashboards to analyze game trends and engagement. Delivered insights on top genres, publishers, and release patterns to inform content strategy.
Python — Integrated Google Trends to compare regional interest and market dynamics. Produced visuals and insights supporting marketing decisions.
MySQL, SQLite, PostgreSQL, Power BI — Designed ETL pipelines to transfer and process data across multiple database systems. Automated data cleaning and aggregation, then visualized key metrics and trends in Power BI for business reporting.
Python, NLTK — Developed a Natural Language Processing script to extract structured data from unstructured text, enabling automated data entry and reporting for business documents.
HTML, CSS, JavaScript, OpenAI API, Firebase — Built a personal website with an integrated & Personalized AI chatbot, demonstrating web automation, API integration, and secure deployment.
Node.js, TypeScript, Express, Prisma (SQLite), Zod, React, Vite, Netlify, Render — End‑to‑end demo with API (products/variants, filtering, validation, seeding, CORS) and a responsive frontend (grid, variant selection, category filter, global cart with animation, simple checkout). Solid DX (one‑command dev, smoke test), documentation (README, DEPLOYMENT, SUBMISSION), SPA routing (Netlify redirects), and environment‑driven API base (VITE_API_URL). Deployed backend to Render (migrate‑deploy) and frontend to Netlify; resolved TypeScript output paths, start commands, SPA 404s, mixed‑content, and CORS.
Python (PADE, Eqasim), Pandas — Processed agent-based simulation outputs and evaluated performance with F1-score, accuracy, and efficiency metrics to inform mobility planning.
Python, Scikit-learn — Built and evaluated a feedforward neural network with preprocessing and model validation; reported precision/recall and confusion matrix for business interpretability.
FastAPI, Design Patterns — Implemented Builder and Strategy patterns to construct complex meal orders; exposed endpoints for ordering and cost breakdown.
Python, SQLite — Modular payment framework with multiple strategy implementations, transaction logging, and validation.
Python, OOP — Command-based interface to simulate smart home device control and automation logic.
AWS — Deployed and managed EC2 instances, configured IAM roles, and implemented basic networking and security policies.