Hello, this is Linda.




Casting Agency

Casting Agency

Udacity Capstone

Built a full-stack web app that was secured and with role-based access.

  • Full Stack Web Dev.
  • SQLAlchemey, Auth0, Postman

Wasted Offers

Wasted Offers

Udacity Capstone

Analyzed Starbucks' offers. Identified and investigated the offers that were wasted - unused or accidently used.

  • Data Engineering, Visualization

Find A Reviewer

Find A Reviewer

Side Project For Work

Built a recommendation engine using GloVe and deployed it using Flask.


  • NLP, Full Stack

Disaster Response Pipeline

NLP Pipeline

Udacity Project

Classified 25k+ real messages that were sent during disasters to send to an appropriate relief agency.

  • NLP, ETL and ML pipelines


CI/CD For Flask App

Deploy Flask App

Udacity Project

Containerized and deployed a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.

  • CI/CD, AWS

Coffee Shop Login

Coffee Shop Login

Udacity Project

Built a backend in which different agents could log in securely and see the coffee menu with different details.


  • Full Backend


Trivia API

Trivia API

Udacity Project

Wrote RESTful APIs with CRUD functionalities.



  • RESTful APIs, SQLAlchemy

Fyurr Database

Fyurr Database

Udacity Project

Built a database to power the API endpoints for searching, storing, and adding information.

  • PostgreSQL, SQLALchemy, Flask-Migrate

Recommendation System for IBM

Article Recommendation

Udacity Project

Recommendation engine for IBM Watson Studio Platform.

  • Rank Based Recommendations
  • User-User Based Collaborative Filtering

Churn Analysis

Churn Analysis

Side Project

Utilized EDA and ML models to understand why customers left us and to predict who will leave.

  • EDA, ML

Imbalanced Dataset

Imbalanced Dataset

Side Project

Deep dive into different methods for handling an imbalanced dataset.

  • sklearn, Data Engineering

Exercism Code Practice

Coding Practices

Side Project

Documenting my practices using Leetcode. Questions are organized by numbers and by topics.

  • Data Structure, Algorithms