Suyosha Acharya

• Optimized website SEO, improving search rankings and increasing site traffic using Google Analytics & Looker Studio
• Managed and enhanced web content using Drupal CMS, ensuring seamless updates and improved user experience
• Implemented website performance improvements, reducing load times and enhancing site functionality with HTML, CSS, and JavaScript
• Analyzed user behavior and site metrics using Google Analytics, providing data-driven insights for strategic optimizations

• Built an AI-based routing prototype that simulates smart navigation for EVs and self-driving vehicles.
  
• Designed a graph-based road network and implemented Dijkstra’s algorithm to calculate the shortest route based on simulated traffic conditions.
• 
  Visualized real-time route planning and animated dynamic changes using Python and Matplotlib.

Tech Stack: Python, NetworkX, Matplotlib, Dijkstra Algorithm, Graph Theory

• Developed a beginner-friendly Intrusion Detection System (IDS) prototype using anomaly detection techniques.
  
• Detected abnormal patterns in sample network data using machine learning algorithms, and logged security events to a custom-built blockchain ledger to simulate tamper-proof security tracking.

Tech Stack: Python, Scikit-learn, Pandas, Blockchain (custom Python-based), Jupyter Notebook

• Company Overview: College of Engineering
• Modern C++ Utilization: Demonstrated expertise in modern C++ through the implementation of advanced language features for enhanced code readability and maintainability
• Cross-Compilation for Embedded Linux: Accomplished cross-compilation for embedded Linux targets, underscoring the ability to adapt and deploy the simulation in embedded environments
• Developed a dynamic virtual environment, modeling pollution, commercial, and industrial sectors’ impact, and pollution
• Tech Stack: C++, Object-Oriented Programming, Simulation Algorithms, Data Structures.

• Created company website with optimized SEO.
• Developed a responsive UI, which bolstered user engagement.
• Handled database and marketing

• Conducted a comprehensive analysis comparing Lyft and Ford users to assist Lyft in ride-sharing programs
• Utilized SQL queries and Tableau to extract and manipulate data, focusing on user engagement patterns
• Performed explanatory data analysis and top user engagement metrics using Jupyter Notebook