Welcome!

Unlocking insights through data

Selected projects

In this section, I showcase some of my recent projects that demonstrate my skills as a data scientist. Each project includes a brief description, the tools and techniques I used, and a link to the project repository or demo.Stay tuned for updates as I continue to work on exciting new projects!

Inkspire

Inkspire offers a revolutionary approach to designing tattoos with the help of AI. Craft a tattoo that’s as unique as you, with tools that understand your vision.

Predicting Song Popularity for Spotify

This project aims to develop a predictive model to identify key features that contribute to a song's success, using historical data from Spotify's API on song popularity. By analyzing data on music industry trends and using machine learning techniques, we hope to provide a valuable tool to improve Spotify's UX.

Screenshot of Deepnote's notebook of the project

[WIP] AI Financial Advisor

This project is a work in progress. The goal is to create an AI-powered financial advisor that can help people optimize their portfolios based on their unique circumstances and risk tolerance.

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Hult International Business School

project

EDA

Investment portfolio optimization

Given an initial client's portfolio, conduct an efficient frontier analysis to optimize it

Graph showing efficient frontier for three assets

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Hult International Business School

project

Machine Learning

Apprentice Chef - Cross-sell promotion predictions

I developed a classification ML model to predict if the cross-sell promotion will be successful, based on historical data.

House Prices - Advanced Regression Techniques

This project focuses on analyzing the Ames Housing Dataset to predict the sale price of homes in Ames, Iowa, by cleaning and handling missing values, applying log transformations to skewed variables, dropping irrelevant columns, creating new features, one-hot encoding categorical variables, and using machine learning models like TPOT.

Let's work together

Hello there! Thank you for visiting my data science portfolio. If you have any questions or would like to discuss potential collaborations, please don't hesitate to reach out to me through the contact form below. I'm always excited to connect with fellow data enthusiasts and explore new opportunities. Looking forward to hearing from you!

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