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Hi šŸ‘‹, I'm Jacques Diambra-Odi

I am transitioning from a natural science background, to a data science career. Nevertheless, I bring my analytical thinking to any project I undertake. I enjoy working with machine learning models and creating interactive visualizations.

jodiambra

  • šŸ”­ Iā€™m currently working on adding various projects to my repo and searching for a data science position.

  • šŸ‘Øā€šŸ’» All of my projects are available at Repositories

  • āš” My portfolio website is available at Porfolio

  • šŸ’¬ Ask me about Python, Data Science, Machine Learning, Crypto, Soccer and Jiujitsu

  • šŸ“« How to reach me: [email protected]

  • šŸ“„ Know about my experiences Resume

Connect with me:

jodiambra

Languages and Tools:

git docker fastapi vscode streamlit mysql pandas numpy plotly postgresql render scikit_learn tensorflow xgboost catboost lightgbm tableau keras hugging face google colab paperspace gradient

jodiambra

Ā jodiambra

jodiambra

Jacques Diambra Odi's Projects

breast-cancer-predictions icon breast-cancer-predictions

Web application that can be used to predict breast cancer, based on cell features. Model classifies result as benign or malignant.

fast-food-eda icon fast-food-eda

This Project explores American fast food chains, through sales, market share, and the number of restaurant locations. The data will illustrate the king of fast food, and which chains are dying off.

interconnect-telecom-churn-predictions icon interconnect-telecom-churn-predictions

The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.

ivory-realty-eda icon ivory-realty-eda

Using Zillow datasets to investigate the current state of the housing market to make data-driven decisions on single-family property investments

megaline-plan-recommendations icon megaline-plan-recommendations

Aid Megaline, a mobile carrier, in developing a model that will analyze subscribers' behavior. Once analyzed, subscribers on a legacy plan can be recommended one of Megaline's newer plans: Smart or Ultra.

megaline-plus-eda icon megaline-plus-eda

Conduct EDA to determine the optimal capital allocation for a marketing campaign, determining the most profitable of the two plans.

minimal icon minimal

Minimal is a Jekyll theme for GitHub Pages

numpy icon numpy

The fundamental package for scientific computing with Python.

oily-giant-profit-predictions icon oily-giant-profit-predictions

Using machine learning to discover the best location for Oily Giant to open their next well, based on reserve volume and profit

state-farm icon state-farm

Showcasing data science skills for a dataset provided by State Farm for a coding interview.

tinder-relationship-predictions-website icon tinder-relationship-predictions-website

Exploratory data analysis and predictive modeling using Tinder matching data. Model predicts whether you would find a relationship or not. The EDA was showcased with a web application, in collaboration with software engineer students. This project was part of Practicum Code Pudding 2.0 competition.

yachay.ai icon yachay.ai

Project predicting geolocation from tweets as part of Yachay.ai externship

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