• Google Cybersecurity Professional Certificate — Google / Coursera
• Network Security & Threat Detection — CompTIA / Cisco Networking Academy
• Ethical Hacking & Information Security Principles
• Cloud Security Fundamentals (IAM, VPC, Zero-Trust)

• Data Engineering with Python & Big Data (Spark, Kafka)
• Google Cloud BigQuery & Data Warehousing
• Machine Learning & Applied Data Science — NumPy, Pandas, Scikit-Learn
• SQL for Advanced Data Analytics & Database Design

Production-Grade Data Engineering Lakehouse & Intelligence Engine

• Constructed a complete Medallion Lakehouse (Bronze ➔ Silver ➔ Gold) with Apache Kafka, Debezium CDC, Apache Spark, and Airflow.
• Automated cloud data warehousing in GCP BigQuery with modular dbt modeling and CI/CD quality testing.
• Infra as Code (IaC) provisioned via Terraform and fully containerized with Docker.

Automated Threat Intelligence & Network Packet Analysis

• Implemented high-throughput security log ingestion scripts using Python and Bash to flag suspicious network activities and brute-force attempts.
• Parsed audit logs and visualized security telemetry dashboards with automated alerting mechanisms for anomaly detection.

Machine Learning & Geospatial Safety Modeling

• Trained classification models (KNN, Decision Trees, Gaussian Naive Bayes) predicting accident-prone zones based on environmental indicators.
• Conducted extensive exploratory data analysis and feature engineering using Pandas, NumPy, and Matplotlib.

MERN Architecture with Zero-Trust Security Controls

• Engineered a scalable full-stack application featuring role-based access control, cryptographic token verification, and automated rate-limiting.
• Structured ACID-compliant schemas and caching layers across PostgreSQL, MongoDB, and Redis.