Projects
Insight-Pro: eCommerce Analytics Suite
Oct. 2024 - Nov. 2024Developed and optimized SQL/Snowflake queries to extract, transform, and visualize data, enabling accurate reporting on customer trends, product performance, and sales forecasting, aligning with data-driven decision-making strategies.
Technologies
Python
SQL
Power BI
Google Analytics
AWS
Excel
Key Achievements
- Designed and implemented automated data pipelines in SQL/Snowflake to streamline data processing workflows, improving efficiency in expense tracking, financial settlements, and operational analytics.
- Utilized SQL and Power BI to create dynamic dashboards, transforming raw data into actionable insights for senior management, supporting investment and business analytics initiatives.
- Worked with diverse teams to enhance data integrity, maintain compliance with financial policies, and support process ownership, ensuring efficient data management aligned with industry best practices.
Adaptive Hybrid Ensemble Learning with Explainable AI for Anomaly Detection
Aug. 2024 - Oct. 2024Designed and implemented a hybrid ensemble model combining CNN, Bi-LSTM, Random Forest, Gradient Boost, and XG Boost to enhance anomaly detection accuracy in network traffic.
Technologies
Python
Machine Learning
Deep Learning
Key Achievements
- Integrated SHAP-based Explainable AI techniques to improve model transparency and interpretability, supporting critical decision-making in cybersecurity operations.
- Developed a scalable pipeline for preprocessing, multi-model classification, and real-time explainability, tailored for high-volume and heterogeneous network environments.
- Achieved 99.98% accuracy on CICIDS2017 and 97.71% on UNSW-NB15 with false positive rates as low as 0.02% and 0.01%, validated using ROC analysis and SHAP visualizations.
Container Identity and Access Management
Aug. 2023 - Oct. 2023Designed and implemented a secure container identity framework by generating hashed identifiers (Docker IDs, container IDs) linked to access privileges, ensuring granular identity verification in runtime and testing environments.
Technologies
Python
Next JS
JSON
Docker
Bash Scripting
Key Achievements
- Developed a Python-based logic layer integrated with Docker and Bash to automate identity generation, access mapping, and secure role-based controls across containerized services.
- Engineered a modular front-end using Next.js for real-time visibility into container access rights and lifecycle events, enhancing security posture and operational transparency.
- Improved container runtime security, isolation, and auditability in DevSecOps pipelines by enforcing dynamic identity binding—resulting in a 40% reduction in unauthorized access attempts and a 30% improvement in audit traceability.