- - Data Science Innovations: Developed novel "AI Resume Score" and "AI Job Score" tools using cosine similarity to precisely assess candidate-job fit. Further, Innovated a new mathematical formula for "Candidate Match Score," with research submitted to IEEE Transactions on Artificial Intelligence (Manuscript ID TAI-2024-Oct-A-01634).- - AI & Data Analysis: Led AI-driven initiatives in implementing predictive algorithms and automated screening using machine learning (ML) and natural language processing (NLP) to funnel data for real-time recommendations, predictive analytics, and actionable insights.- - Data Cleaning & Ingestion: Engineered a data pipeline to ingest, process, and store large-scale job data feeds from platforms like DEJobs, Talent, AppCast, and others securely transferring it into Elasticsearch Service for searchable and modifiable storage. Utilised Kibana to visualise data results, enhancing insights and decision-making.- - Data Analytics & Visualization: Automated resume screening processes using Python, developing dynamic visual analytics dashboards with Plotly and Google Charts. Visualised trends and insights across over 1 million job postings and press releases, all integrated into a Flask application, providing clients with actionable, data-driven insights. - - Cybersecurity: Secured web applications against diverse cyber threats through a multi-layered security approach, incorporating: Network Security: DDoS mitigation, traffic analysis. Application Security: WAFs (Cloudflare, ModSecurity, Fail2Ban, Imunify360). Developed custom Flask security modules and ensured robust encryption through SSL/TLS.