Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multi cloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. I have implemented various features for Securiti’s Data Security Posture Management platform.Project 1:Description: Developed an anomaly detection system for network traffic using Python and machine learning techniques. The goal was to identify unusual patterns or behaviors in network traffic data that could indicate potential security threats such as intrusion attempts or abnormal network activity. The project involved preprocessing the data, training a machine learning model, and visualizing the detected anomalies for further analysis.Project 2:Description: Developed a deep learning model dedicated to malware detection. The goal was to construct a robust system capable of identifying and classifying malware variants based on intricate code patterns. Leveraging convolutional neural network (CNN) architecture, the project aimed to enhance the accuracy and efficiency of malware detection, contributing to bolstering cybersecurity measures.Project 3:Description: Led the development of a sophisticated privacy-checking tool utilizing Python, advanced contextual searching, and a key emphasis on regular expressions (regex). The primary goal was to create a robust solution capable of identifying and categorizing over 200 types of Personally Identifiable Information (PII) within diverse document formats. This initiative was instrumental in enhancing data privacy and ensuring compliance with regulatory requirements.

Securiti is the pioneer of the Data Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multi cloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. I have implemented various features for Securiti’s Data Security Posture Management platform.Project 1:Description: Led a groundbreaking project to analyze and track changes in privacy policies over time by scraping and analyzing one million documents. Employed web scraping techniques to collect privacy policies and utilized Natural Language Toolkit (NLTK) sentiment analysis to gauge shifts in content tone and identify noteworthy modifications. The project aimed to provide insights into evolving privacy practices across diverse industries.Project 2:Description: Spearheaded the development of a comprehensive script designed to fetch and analyze security configurations for URLs, ensuring adherence to General Data Protection Regulation (GDPR) standards. The script covered a spectrum of security parameters, including DNS, DNSSEC, SPF, DMARC records, TLS, and SSL versions. This initiative aimed to fortify data security and privacy by assessing and enhancing web security configurations.

Netpace Inc. is a data-driven professional services company specializing in enterprise software, cloud enablement services and workforce solutions. Our data-centric services and solutions help empower our customers to make complex intelligent processes simpler to drive digital transformations.Project 1:Description: Developed a robust script utilizing Python and multiprocessing to perform comprehensive web data extraction and analysis for a given URL and its sitemap. The script successfully scraped cookies, local storage items, session storage items, and image beacons, providing valuable insights into web properties. This initiative aimed to enhance understanding and control over data privacy and tracking mechanisms.Project 2:Description: Pioneered the creation and development of a Python wrapper dedicated to the instantiation of multi-threaded applications. This innovative approach significantly optimized system resource utilization and bolstered the performance of concurrent tasks. The wrapper aimed to streamline the development process for multi-threaded applications, offering a robust and efficient solution.