Gift Finder | Full Stack Engineer
Coming Soon!
Full-Time Problem Solver
Jason Abi Chebli
I first discovered my passion for programming at a young age, and it quickly became something I truly
enjoyed. After taking some time to explore other areas and expand my skillset, I've returned to the
world of coding, diving into exciting projects across data science, app development, and machine
learning.
Coming Soon!
Designed and built Trackr, a modern Flutter app for personal finance management with budgeting, OCR scanning, multi-account sync, and friendly mascot-led onboarding. Preparing for commercial release.
Applied machine learning to the MIMIC-III dataset to predict ICU patient mortality using vitals, comorbidities, and diagnostic codes. Built interpretable and deep learning models with ROC-based evaluation and rigorous preprocessing.
Compared linear and tree-based classifiers to distinguish financial vs birdsong time series based on extracted statistical features, using R's tidymodels. Included ROC-based evaluation and visual interpretations.
Forecasted monthly turnover in NT's electronics retail sector using ETS and ARIMA. Included STL decomposition, Box-Cox transforms, unit root tests, and 2-year validation with updated ABS data.
Performed PCA on women's T20 cricket stats to uncover key performance dimensions. Used resampling and permutation testing for inference and visualized insights with biplots and clustering.
Developed a database system for Paris Arrow Transit (PAT) to manage transportation logistics, using relational and non-relational databases with advanced SQL and automated business rules.
Developed a database for the ReadMore Community Library (RCL) using conceptual and logical modeling, normalization, and schema development to ensure efficient data management and integrity.
Analyzed Australian earthquake data, identifying trends in seismic activity, regional risks, and the relationship between magnitude, depth, and damage, using data visualization techniques.
Performed an in-depth analysis of Australia's Olympic performance, exploring trends in medal counts, athlete participation, gender differences, and more, with interactive visualizations and statistical insights.
Explored the nutritional content of Starbucks' hot coffee drinks, using regression models and data visualizations to identify the healthiest combinations.
Investigated crime trends and correlations using R Studios, applying statistical methods and data visualization to uncover patterns and predictive factors for urban safety insights.
Built a web app to enhance organization and time management, enabling users to create lists, set deadlines, and plan their week with an intuitive and user-friendly interface.
Led a team in the development of a travel planning application for students to efficiently plan and manage domestic flight trips, including creating a PMP, UI/UX design, and both front-end and back-end development.
Created an interactive game that lets users control a spaceship to destroy space debris, raising awareness about waste management in space.