I'm a Data Scientist with a Bachelor in Economics 📈 and Finance 💰. My professional journey has spanned across diverse industries including export, education, and banking. Having successfully completed a comprehensive Data Science Program atBloom Institute of Technology, also known asBloomTech, I have honed my skills in 🐍 Python, SQL & Databases, Data Visualization, Linear Algebra & Statistical Analysis, Deep Learning & ML Ops, Natural Language Processing, Neural Networks, and Computer Vision.

• ⚡ Fun fact: One of my biggest dreams is to witness the mesmerizing dance of the Northern Lights at least once in my life. Currently living in Minnesota ✴️, the North Star State, I'm hopeful to catch a glimpse of the awe-inspiring Aurora Borealis, although I haven't been fortunate enough yet. If you've experienced this breathtaking phenomenon, I would love to hear your story!
• 👩🏾‍💻 Armed with a Bachelor of Science 🎓 in Economics and Finance, I'm passionate about continuous growth and learning. Currently, I'm focused on enhancing my statistical skills 📈, delving into supervised machine learning, predictive modeling, and 📊 data visualization.
• 🌱 I’m continuing my professional studies and improving my statistics skills on statistics 📈, supervised machine learning, predictive modeling, and 📊 data visualization.
• 🤔 My areas of interest encompass Machine Learning, Predictive Modeling, and Natural Language Processing, where I see immense potential for making a positive impact. I'm passionate about leveraging data-driven insights to solve real-world challenges and create meaningful outcomes.
• 🚀 As a recent graduate of a comprehensive Data Science Program 🎓, I'm now on an exciting journey to launch my career in 🕸️ Data Science and Machine Learning. I am eager to apply my skills and passion for data-driven insights to contribute to meaningful projects.
• Embracing Einstein's wisdom, I firmly believe that "Once you stop learning, you start dying."
• ✨ I find true fulfillment in learning and collaborating across diverse domains, united by the common goal of solving 💼 business problems with data-driven insights.

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1. BandersnatchBandersnatchPublic

   Forked fromBloomTech-Labs/BandersnatchStarter

   This project implements a machine learning model using Random Forest, XGBoost, and Support Vector Machines algorithms with oversampling and undersampling techniques to handle imbalanced classes for…

   Jupyter Notebook

2. Loan-Default-Risk-PredictionLoan-Default-Risk-PredictionPublic

   Trained a classifier by using labeled data and oversampling and undersampling techniques to predict if a borrower will default on a loan. The model is intended to be used as a reference tool to hel…

   Jupyter Notebook

3. tanzanian-water-pumpstanzanian-water-pumpsPublic

   Used supervised machine learning classification algorithms such as Decision Tree and Random Forest to predict whether or not water pumps in Tanzania require repair.

   Jupyter Notebook

4. Who-Tweeted-WhatWho-Tweeted-WhatPublic

   Web application that uses a NLP machine learning model to analyze the textual content of tweets and predict which of two Twitter users most likely authored a user-generated text.

   Python

5. Sketch-Classification-QuickdrawSketch-Classification-QuickdrawPublic

   Used tensorflow, keras and a sample of the Quickdraw dataset to build a sketch classification model.

   Jupyter Notebook 1

6. COVID19_CrisisCOVID19_CrisisPublic

   Used SQL queries to perform data analysis of the COVID-19 pandemic, exploring key trends, statistics, and insights sourced from Our World in Data.