About

Rahul Ganesh Sridhar is an AI Engineering Analyst at Accenture Solutions Pvt Ltd. He is a detail-oriented and performance-driven professional with outstanding analytical skills and a stable work ethic. Rahul is adept at proactively monitoring company networks and implementing safety tools to protect against system/network breaches and data/info theft. He has the ability to simulate security attacks to identify potential vulnerabilities within the organization. Rahul is skilled in evaluating cybersecurity requirements and recommending best data security practices for employees and staff members. He possesses the capability to lead projects involving architecture and software development, implementation, testing, and deployment. Rahul is consistently recognized for his outstanding technical, interpersonal, leadership, and communication skills. He has a positive team-building attitude and is acknowledged for demonstrating rational decision-making throughout his career. Rahul is technically proficient in Python, Java, C++, MySQL, SQLite, Ubuntu, Windows, Predictive Analytics, Artificial Intelligence, NumPy, Scikit-Learn, Matplotlib, Spyder Static analyzer, AutoIt recorder, Selenium Web Driver, GitHub, Wireshark, Nmap, Putty, Snort, Spyder, and Jupyter Notebook. Rahul has worked as a Software Engineer at Bridgei2i and a System Analyst at EVGateway. During his tenure at EVGateway, he designed applications with automation and process-oriented management, improved performance, and strengthened controls by organizing system infrastructure documentation and operating procedures. Rahul has a Master of Science in Computer Science from California State University, Fullerton, and a Bachelor of Engineering in Computer Science from Vishveshwaraiah Technological University. He has relevant experience of 2.45 years and his tech stack includes AI, ML, Jupyter, Java, Software Engineer, Python, test, Selenium, Scikit, MySQL, MongoDB, Web, Integration, and infra. Some of Rahul's notable projects include Risk Mitigation of Customer Churn using Machine Learning (Java, MongoDB), Autism Spectrum Disorder (ASD) prediction using Machine Learning (Python, SQLite), and Adblocking using Raspberry Pi (Ubuntu, Pi-hole).