Jacques Diambra Odi's Projects
Model predicting whether a bank customer will churn or not
Web application that can be used to predict breast cancer, based on cell features. Model classifies result as benign or malignant.
EDA and machine learning to predict cervical cancer
practicum code pudding project
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.
We built a model for Film Junky Union to detect negative reviews.
Using computer vision to determine the age of a customer, in order to stay compliant with alcohol laws
Exploratory data analysis on ICE retail gaming store.
Conducting EDA on Instacart orders
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.
Using Zillow datasets to investigate the current state of the housing market to make data-driven decisions on single-family property investments
First attempt at data science portfolio webpage deployed using Github pages
Yahoo Finance stock and crypto web application
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.
Conduct EDA to determine the optimal capital allocation for a marketing campaign, determining the most profitable of the two plans.
Minimal is a Jekyll theme for GitHub Pages
The fundamental package for scientific computing with Python.
Using machine learning to discover the best location for Oily Giant to open their next well, based on reserve volume and profit
Active data science portfolio webpage
We build a model to predict the value of used cars, while also considering speed and quality of the prediction.
Exploratory data analysis on Spotify music data
Project solving an murder using SQL queries in sqlite3
Showcasing data science skills for a dataset provided by State Farm for a coding interview.
We conduct cluster analysis on customers and machine learning to predict if a customer will receive insurance benefits.
Time series modeling to predict fares for Sweet Lift Taxi Company. Predictions will be used to allocate drivers for peak hours.
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.
Exploratory data analysis on used car sales on a streamlit web application
Project predicting geolocation from tweets as part of Yachay.ai externship