I am a proud recipient of TheDream.US scholarship and a recent graduate of Eastern Connecticut State University, where I earned two separate Bachelor of Science degrees in Computer Science and in Business Information Systems, along with a minor in Data and Information Engineering.
During my first year, I served as Treasurer, and in my second year, I served as President of the Business Information Systems - Information Technology Students of America student chapter at Eastern. Additionally, I volunteered as a student worker for the Business Information Systems and Accounting academic department at ECSU. I also volunteered at Shawns Cupboard, the school's food security pantry for students.
Beyond academics, I gained hands-on experience as a Network Administration Intern at Eastern Connecticut State University, where I contributed to a $7M network infrastructure upgrade, helping complete the project one week ahead of schedule. I also designed a VOIP cube upgrade plan, reducing downtime to under 30 seconds, and upgraded fiber link cables while configuring routers and switches using Cisco Prime Infrastructure. Additionally, I helped recover and optimize $100K+ worth of networking equipment, collaborated with contractors to enhance UPS (Uninterruptible Power Supply) systems, and assisted in IT support tickets across campus while balancing large-scale infrastructure projects.
I am extremely passionate about leveraging technology and data to solve real-world problems. I served as a Tableau Data Viz Academic Ambassador, where I led and cultivated an inclusive, welcoming community of peers at ECSU. Aiming to empower students with fundamental data skills and help them advance their data-driven capabilities.
As I pursue my career in data engineering, I’m excited to design scalable data pipelines, optimize data infrastructure, and enable organizations to leverage data effectively for informed decision-making. With my Data Visualization experience, I understand how data will be used in dashboards, which helps inform the design of efficient data models. Additionally, my experience with Tableau serves as a great differentiator, especially in roles where data engineers collaborate closely with analysts or build self-service BI solutions. I’m passionate about transforming raw data into actionable insights and building high-performance systems that drive innovation.
As modern data systems grow in scale and complexity, optimizing ETL pipelines becomes critical to ensure fast and memory-efficient processing. Traditional ETL methods typically rely on lookup tables and rule-based transformations, which can become computationally expensive as data scales.
• Traditional ETL Mapping using lookup tables and direct transformation rules.
• DMM-Based Mapping, a compact matrix-based transformation technique introduced in the METL framework.
Building a full-stack web application with a team to support Shawn’s Cupboard, ECSU’s on-campus food pantry. The system aims to streamline visit logging, volunteer scheduling, and report generation through a custom-built role-based platform (guest, volunteer, admin). We’re following the full software development life cycle, with a focus on clean architecture, documentation, and automation. The goal is to replace manual processes and support data-driven decision-making through integrated analytics. Built pro bono to serve the ECSU community.
Evaluated a series of machine learning classification models (Naïve Bayes, MLP, SVM, Logistic Regression, C4.5, and Random Forest) to predict fault prone software modules using real world software metrics from a large legacy telecom system. Applied cross-validation, ROC analysis, and model tuning across two datasets of varying dimensionality to explore the tradeoff between feature reduction and prediction accuracy.
Visualized model results through Tableau, to analyze performance gains in feature reduction. Successfully demonstrated that reducing feature count could maintain competitive model performance, improving efficiency for large scale systems. This project involved data preprocessing, algorithm configuration, visualization, and critical performance comparison.
This project showcases a real-time hand gesture recognition system built entirely from scratch using a Convolutional Neural Network (CNN). Which I trained on a curated subset of the HaGRID dataset that I preprocessed and augmented, the model accurately classifies six hand gestures — rock(play), palm(pause), like(volume up), dislike(volume down), okay(keep playing), and fist(end audio). Using live webcam video with over 83% test accuracy.
Beyond classification, the gestures are mapped to practical media controls on macOS. Using AppleScript automation, the system can play/pause music, adjust volume, and stop/replay tracks. All mouse and !
• Real-time webcam gesture recognition
• CNN trained from scratch (no pre-trained models)
• HaGRID dataset (512px) with custom augmentation, and data loaders
• Model training early stopping, checkpointing, and modular design
• macOS system control via AppleScript integration
• Two apps: one for prediction display, one for media control
Created a program to easily visualize and analyze multi process scheduling with a Round Robin Gantt Chart Generator! This interactive tool simulates the Round Robin CPU scheduling algorithm, allowing users to explore how processes are managed in a time sharing system.
Users can input their own process workload data or generate random workloads, set the quantum and context switch time, and instantly see detailed statistics including start time, end time, wait times, and turnaround times for every process.
• Detailed process workload data, statistics, and status
• Gantt Chart visualization for processes
• Conduct and analyze job scheduling
Collaborated with a colleague on a Python-based quiz application built with object-oriented programming principles. It provides secure user authentication for both students and instructors, ensuring that only authorized users can access the system. The intuitive GUI, developed using Tkinter, guides users through login, quiz-taking, and error handling processes. Students can take quizzes and instantly view their scores, while instructors have tools to create and manage quizzes using CSV files for flexible question storage.
• This project is ideal for mastering core programming concepts
• Demonstrating practical Python OOP
• GUI development
• File I/O in a real-world interactive setting
| # | Title | Technology | Updated |
|---|---|---|---|
| 1 | Lorem ipsum doloraing elit. | Laravel | 05-12-2019 |
| 2 | Sapiente autem cum doloribus eius | PHP | 04-10-2018 |
| 3 | Lonsectetur adipisicing ratione | HTML | 02-08-2019 |
| 4 | Libero expedita esse debitis fuga | Angular | 01-01-2018 |
| 5 | Lsoluta tenetur quibusdam commodi. | JavaScript | 25-10-2017 |
| 6 | Vitae labore laboriosam illum explicabo | Laravel | 05-10-2019 |
| 7 | Voluptatibus nostrum neque vel quas | React | 02-11-2018 |
| 1 | Impedit odio vitae itaque suscipit. | HTML | 03-10-2019 |
| 1 | Qui amet atque repellat. | Sass | 09-05-2019 |
| 1 | Itaque suscipit debitis perferendis. | PHP | 01-08-2017 |
Lines of code
Projects
Articles written
Years lived
Becoming a Tableau Student Ambassador has been a defining step in my journey as a student leader and data enthusiast. It’s not just about building dashboards, it’s about empowering others to unlock insights through data.
As an Ambassador, I’ve led workshops, organized learning sessions, and fostered opportunities for fellow peers
to explore the world of data visualization. I’ve learned how to communicate complex ideas clearly, support others in their learning journey, and build a collaborative data community on campus.
This role has helped me grow as a leader, someone who doesn’t just work with data, but uses it to inspire action and drive change. If you’re passionate about leading with purpose and using data to make a difference, the Tableau Student Ambassador program is a powerful platform to start.
As the first in my family to pursue higher education, I’m graduating with two STEM degrees and a minor. Which is why I was inducted into this honor society in recognition of academic excellence and leadership as a first-generation college student.
An achievement that reflects resilience,
discipline, and a strong commitment to personal and academic growth. This honor underscores my dedication to creating opportunity not just for myself, but as a role model for younger family members and peers.
Inducted into UPE, the only national honor society exclusively for computing and information technology disciplines. In recognition of academic excellence, leadership through providing fellow peers with growth opportunities, and service to my university through volunteer work for the Business Information Systems department.
This honor reflects my strong performance in upper-level computer science coursework, as well as my active role on campus as a Python and Machine Learning teaching assistant and President Emeritus of the IT student organization.
As President, I led the organization in expanding its impact on campus and beyond. I successfully planned and coordinated our participation in the National USITCC Conference in Plano, Texas, handling everything from budgeting and securing flights/hotels to working with faculty on approvals. Under my leadership, our team comp- eted and earned an Honorable Mention, a milestone for the club. I also continued building on my Treasurer work by strengthening alumni connections and creating events that supported career readiness and exploration for members.
As Treasurer, I was responsible for managing the club’s budget, planning allocations, and ensuring resources were available for meaningful student engagement. Beyond finances, I played a hands-on role in coordinating events that fostered professional growth, including alumni talks on career paths, industry trends, and resume building. I also helped organize mock interviews with alumni, giving peers valuable practice and feedback to prepare for future opportunities. My focus was on building connections and creating accessible development opportunities for all members.
I had the opportunity to attend the SHPE National Convention, where I had the opportunity to participate in workshops focused on data engineering and cutting edge technology. These sessions solidified my passion for pursuing a career as a data engineer, giving me both the technical exposure and professional clarity I was seeking.
Beyond the workshops, I made valuable connections with industry professionals and peers that will continue to support my career growth and development.
