| Software Engineer | System Administrations | Programming & Scripting |
Software Engineer with over 6+ years experience in delivering Tier 1 & 2 technical support to over 300 users. Streamlined the ticketing process through a new tracking system, cutting response times by 30%, which greatly improved user satisfaction. Diagnosed network connectivity issues to maintain a remarkable 99.9% system uptime, minimizing downtime for essential operations. Possesses strong troubleshooting, training, and knowledge management skills, contributing reliable IT support and empowering users while adding significant value to the organization.
Check my GitHub Profile here to see previous projects I’ve worked on. You can also access specific projects below.
🖥️ Languages & Experience
- System Administration: Windows, macOS, Linux (Ubuntu), Command-line tools, Package managers (Homebrew, Chocolatey, Conda)
- Programming & Scripting: Python (automation, scripting), Bash, PowerShell, Java, JavaScript
- Frameworks & Libraries: Pandas, NumPy, BeautifulSoup, Django (internal data reports, web task automation, internal tool building)
- Networking & Cloud: AWS (EC2, RDS, Lambda), Docker, VPN, DNS, SSH, Firewall configuration
- Automation & DevOps: Python scripting (log parsing, system monitoring), RESTful API integration, CI/CD pipelines
- Database & Querying: SQL (PostgreSQL, MySQL), Database backups, Access control, Scripting for data exports
- Tools & Platforms: Git, Postman, VS Code, IntelliJ, Ticketing systems (Jira, ServiceNow), Remote desktop tools
📒 Projects
Aspect-Based AI Analysis of iPhone Customer Reviews (Python)
A deep dive into Apple iPhone 11 customer feedback using Aspect-Based Sentiment Analysis (ABSA) to go beyond star ratings.
- Data Loading & Exploration: Identified patterns and insights in raw review data.
- Text Preprocessing: Cleaned and lemmatized review text using spaCy, removed noise.
- Aspect Extraction: Used frequency analysis (CountVectorizer) to identify key iPhone features mentioned.
- Sentiment Assignment: Applied NLTK’s VADER to classify sentiment per aspect.
- Analysis & Visualization: Summarized and visualized results to reveal customer opinions.
Encrypted Password Manager (Python)
A secure password manager built with Python that encrypts and manages passwords using Fernet encryption.
- Add & Store Passwords: Securely save credentials for various usernames.
- Password Verification: Check entered passwords against stored encrypted versions.
- Retrieve & Delete: Find and remove stored passwords as needed.
- Master Password Authentication: Requires master password for access, ensuring security.
Finance Tracker (Javascript, HTML/CSS)
A lightweight, client-side web application designed to help you quickly track your expenses. This tool is perfect for personal use, allowing you to log spending, categorize it, and get an immediate total without needing a complex backend or database.
- Add Expenses: Easily input expense names, categories, and amounts.
- Categorization: Assign a category to each expense (e.g., Food, Transport, Utilities) for better organization. If no category is provided, it defaults to “Uncategorized.”
- Dynamic Total: The total expense amount updates automatically as you add or delete entries.
- Delete Expenses: Remove individual expense entries you no longer need.
- Export to CSV: Download your current session’s expense data as a CSV file, which can be opened in spreadsheet software like Microsoft Excel or Google Sheets for further analysis.
HTML & JavaScript Front-End Web
A dynamic, responsive templated website showcasing modern web development techniques I designed.
- Menu Projects: Dynamic restaurant menu builder.
- Recipe Finder: Search and view recipes with ingredients.
- To-Do List: Efficient task management app.
- Weather Dashboard: Real-time weather updates.
- Paragraph Generator: Generate random paragraphs for UI testing.
📝 Connect With Me
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