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Hi everyone! šŸ‘‹

šŸ”­ Iā€™m a recent Information Systems graduate from Singapore Management University. From my past projects and internships, I came to realise that I have a strong interest in data engineering and backend development.

šŸŒ± During my free time, I enjoy reading about food and different culture/traditions in the world. My other hobbies include strength training, pilates, barre, running and cooking.

šŸ“« I am always open to new and exciting opportunities. Feel free to reach out to me at LinkedIn!

Languages and Frameworks:

Python Java R Flask Spring Boot

Databases

MySQL PostgreSQL

Cloud

AWS Azure

visitors

Siti Salihah's Projects

deepweeds icon deepweeds

A Multiclass Weed Species Image Dataset for Deep Learning

hahilas icon hahilas

Config files for my GitHub profile.

monitoring-daily-body-temperature icon monitoring-daily-body-temperature

SMT 203 Assignment 2 codes for models.py, app.py and manage.py. This assignment is about creating a simple Flask application to monitor the daily body temperature of yourself and your friends in light of the COVID-19 outbreak.

mood-tracker-telegram-bot icon mood-tracker-telegram-bot

Sending message to user via telegram at regular intervals to user. Telegram bot will then respond according to the user's responses.

please-don-t-stop-the-music icon please-don-t-stop-the-music

A project covering practical applications of statistical modelling. In this project, we analyse the factors which enables a song to be chartered in music charts and design a model which predicts whether a song is likely to be become a hit or not. Data source: https://www.kaggle.com/theoverman/the-spotify-hit-predictor-dataset#dataset-of-10s.csv

rateme icon rateme

RateMe Telegram Bot codes. RateMe Telegram bot was created to enhance SMU students' group finding experience. This bot will allow students to search for prospective team members and also rate their group members whom they have worked with.

simplefolio icon simplefolio

āš”ļø A minimal portfolio template for Developers

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