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answering-business-questions-using-sql

The Chinook database contains information about the artists, songs, and albums from the music shop, as well as information on the shop's employees, customers, and the customers purchases. This database is used in this project to determine profitable purchases, analyze employee sales performances and analyze sales by country using SQL.

ats-system

az900-training

AZ-900 Microsoft exam training

blog-gen

Uses Streamlit, Langchain, and the Llama 2 7B Chat ggml model to create a simple app that can generate blog posts on any topic, of any length, for journalists, researchers, comedians, politicians, or a general audience.

co2-emission-viz

Using Plotly To Visualize Carbon Dioxide Emissions From The Power Sector

covid-misinfo-twitter

Trained machine learning algorithms on 31,000 tweets obtained using the Twitter API discussing content from outlets that are reliable sources of medical information and those which have been proven to spread misinformation. The text content and the tweet metadata of the tweets were explored and then transformed using pipelines.

creating-designing-database-sql

crew-ai-resume-reviewer

An app powered by LLM agents that take in a link to a job post and the users' resume as pdf and provide thorough analysis of the resume inlcuding a score for match, probability of passing ATS systems and advice on how to improve resume to tailor it for the provided job description.

disaster-response

dog-breed-classifier

Using a multiclass image classification problem to explore transfer learning, automated machine learning (AutoML) & Grad-CAM analysis.

enel645

Course material for ENEL 645 - Data Mining & Machine Learning

finding-donors

Use data collected from the 1994 U.S. Census to construct a model that accurately predict whether an individual is going to donate to a charity. This sort of task can arise in a non-profit setting, where organizations survive on donations. Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with.

hotel-bookings

identify-customer-segments

Apply unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used to direct marketing campaigns towards audiences that will have the highest expected rate of returns. The data used was provided by Bertelsmann Arvato Analytics, and represents a real-life data science task.

image-classifier

Develop an AI application using a deep learning model that correctly differentiates between different species of flowers. This could be used in a phone app that can tell the name of the flower the camera is being pointed at.

indigo

:ramen: Minimalist Jekyll Template, dark and light themes

langchain-qna

netflix-plotly-eda

nplyrbot-pub

A twitter bot that tweets lyrics to songs using Spotify, Genius & Twitter APIs.

other-projects

Some mini projects for practicing data cleaning and visualizations.

pdf-chat

An LLM powered chat bot for making literature reviews easier. User can upload multiple research articles as pdfs and ask questions about the articles.

pippa

A web application for scheduling lying positions for bed-ridden patients in order to prevent pressure ulcers.

stackoverflow-survey

Used 2018 stackoverflow survey data to help aspiring developers make career decisions. Also a predictive models was built that can predict the salary of an individual breaking into the industry based on their age, formal education and coding experience.

starbucks-offers

Using data from the Starbucks rewards app to predict the best offers for a user based on demographic data.

text-summarization-app

NLP ML pipeline includes data processing, model training, and evaluation for text summarization with HuggingFace Transformers. Deploy predictions via FastAPI and implement a strong CI/CD workflow using GitHub Actions. This involves containerization, image pushing to Amazon ECR, and continuous deployment on EC2 for API serving.

vet-app

A web application for the school of Veterinary Medicine at the University of Calgary to help manage animals profiles, treatment & prescriptions, animal status availability for instruction purposes and process requests for treatment and instructions. This project involved designing and implementing the database, designing REST APIs and designing and implementing the front-end. This project was delivered using Agile methodologies in a team of 3 developers.