GIOVANNI INGLESE
Software Developer Data Analyst Web Developer
910-***-**** *****************@*****.*** linkedin.com/in/giovanni-inglese-02626a364 github.com/GiovanniInglese PROFESSIONAL SUMMARY
Recent Computer Science graduate with a 4.0 GPA and hands-on experience across software development, data analytics, and web development. Built projects in Python, Java, C++, JavaScript, SQL, HTML/CSS, and Tableau, with work spanning application logic, testing, data analysis, dashboards, and user-focused interfaces. Strong foundation in object-oriented programming, data structures, debugging, validation, Git/GitHub, and technical problem solving, with a portfolio that shows both software engineering fundamentals and business-focused analytics work.
TECHNICAL SKILLS
Languages: Python, SQL, Java, JavaScript, C++, HTML, CSS Software & Web: Object-Oriented Programming, REST/API concepts, JSON, front-end fundamentals, responsive UI basics, CRUD workflows
Data & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Tableau, hypothesis testing, dashboards, data cleaning, feature engineering
Tools & Practices: Git, GitHub, VS Code, Eclipse, JUnit, unit testing, debugging, validation, algorithms, data structures PROJECTS
Pet Intake System Java
• Built an intake-style Java application centered on structured record management, input validation, and organized object-oriented program flow to simulate a real-world intake process.
• Focused on clean logic, data handling, and usability so records could be captured, reviewed, and managed in a consistent way, reinforcing core application design and software reliability practices. System Design and Analysis Software Design, Analysis
• Completed requirements and systems analysis work that translated business and user needs into organized system structure, process documentation, and implementation planning.
• Strengthened understanding of software lifecycle thinking by working through design decisions, functionality planning, and how technical solutions should align with stakeholder needs.
Airgead Banking C++
• Developed a C++ financial application that models account growth over time using user inputs, interest calculations, and modular program logic.
• Applied strong fundamentals in variables, control flow, functions, and formatted output while building a practical program that simulates financial projections and user-driven analysis.
Run-Time and Memory Analysis Data Structures C++, Data Structures
• Explored vector, hash table, and binary search tree implementations while comparing runtime efficiency, memory tradeoffs, and data structure selection for course and lookup operations.
• Used the project to strengthen understanding of algorithmic performance, sorting/search behavior, and how data structure choices affect software efficiency and scalability.
Manufacturing Failure Analysis Python, Statistics, Tableau
• Analyzed manufacturing process performance using Python, statistical testing, and Tableau to compare two production methods and identify likely drivers of machine failure.
• Performed hypothesis testing, confidence interval analysis, and operating-condition segmentation to evaluate process consistency, reveal reliability patterns, and translate results into business-focused recommendations. Telco Customer Churn Analysis Python, Machine Learning, Tableau
• Investigated telecom churn across roughly 7,000 customer records using Python for cleaning, feature preparation, exploratory analysis, and retention-focused pattern discovery.
• Analyzed churn by contract type, tenure, service usage, and customer charges, then used the findings to support predictive modeling ideas, dashboard development, and business recommendations aimed at reducing customer loss. Bellabeat Capstone Python, Analytics, Visualization
• Completed an end-to-end wellness analytics case study using Python to clean activity and sleep data, segment users, and evaluate behavioral trends across customer groups.
• Created presentation-ready visuals and business recommendations focused on engagement, consistency, and conversion opportunities, demonstrating the full analytics workflow from data preparation to stakeholder communication. E-commerce Sales Performance Dashboard Python, Tableau
• Performed end-to-end sales analysis using Python for data cleaning, transformation, and exploration before building interactive Tableau visuals to highlight revenue trends and product performance.
• Translated raw transaction data into a dashboard-oriented project that emphasizes business insights, clear storytelling, and decision support for sales performance and operational strategy. EDUCATION
Southern New Hampshire University Associate of Science in Computer Science Conferral Date: May 1, 2026
• GPA: 4.0
Google Data Analytics Professional Certificate Completed March 2026
• Covered SQL, spreadsheets, data cleaning, analysis, visualization, dashboards, and practical business analytics workflows.