👀 I am a CA accredited professional who has spent the last 3 years advising clients on taxation and financial reporting strategies. 👩🏽💼📊 But the world of numbers has called me to new adventures, and so I have been diving headfirst into the exciting realms of coding and data science! 💻📈 My journey has been a thrilling ride - from balancing books to balancing algorithms I am always keen to learn new things and drive my future. As a business and tax advisory professional, I developed a keen eye for detail and a knack for problem-solving. Now, I'm channeling those skills into uncovering hidden patterns in data!
⚡ Fun facts: When I'm not writing code you can find me in personal photography and videography projects 📷, playing games 🎮, or finding the best new places to eat. 🍴
On my GitHub, you'll discover a collection of projects that showcase my growth as a budding data scientist. Here's a taste of what I've been working on:
- Institute of Data Mini-Projects 🤖: A series of projects completed during my study at the Institute of Data, where I applied machine learning techniques to various datasets, from classifying types of crime to predicting graduation rates.
- Spot The Hits! Predicting the Next Viral Song Based on Audio Attributes: Insights from the Top Songs on Spotify in 2024 🎵📈: My Capstone project for the Institute of Data aims to answer to what extent audio features of songs contribute to a track's popularity on Spotify, and a predictive model was built to predict the potential popularity of songs based on this.
And more projects to come!
- Programming Languages: Python
- Data Analysis: Pandas, NumPy, SQL
- Data Visualisation: Matplotlib, Seaborn, PowerBI
- Machine Learning: Scikit-learn, TensorFlow, CatBoost, XGBoost
- Data Science Skills: Natural Language Processing (NLP), Web Scraping (BeautifulSoup), Predictive Modelling
I am always eager to learn and connect with fellow data enthusiasts. Feel free to reach out to me if you want to discuss all things data science, share tips or feedback, or just for a good ol chat. You can find me at www.linkedin.com/in/mariel-yap or send me an email at [email protected]
Thank you so much for stopping by! 🚀