Interactive Website, Data Analysis, AI/Machine Learning Model

Employer not named by the sourceRemote

AI/MLFull Stack

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About this role

PHP, JavaScript, Data Processing, Google Analytics, HTML5, Data Mining, Web Hosting, Bootstrap, Web Development, Data Analysis · • Engineered and deployed a 5-page interactive website using HTML5, JavaScript, and Bootstrap, configured hosting infrastructure through GoDaddy and Cloudflare. • Researched and compiled data on 100+ U.S. medical practitioners to build a structured prospect dataset. • Cleansed and validated clinical data using MS Excel and Google Sheets, improving data accuracy and usability to 95%. • Monitored and automated website performance, DNS, and SSL/TLS infrastructure using Cloudflare and cPanel,saving 10+ hours per week. Analyzed 500K+ financial transactions to build an AI-powered tax fraud detection and risk monitoring system. • Led a team and engineered 27 data features and optimized machine learning classification models to enhance anomalous behavior detection. • Achieved 88% accuracy in identifying high-risk taxpayers through advanced predictive modeling. • Developed a scalable analytics pipeline using PySpark for distributed data processing and an interactive Streamlit dashboard with 7 analytical views with KPIs, Tables and Graphs for real-time compliance monitoring. Built an end-to-end ETL data analytics pipeline with 500K+ transaction records for customer purchasing insights. • Pr