Aniss Bouchama
Portfolio

A versatile professional with a diverse skill set and a wealth of experience in Data Analytics, Data Science, and Project Management.

Predicting tippers fee

PYTHON | Random Forest model

The New York City Taxi & Limousine Commission (NYC TLC) has made a business request for a project to develop a viable machine learning model. The idea is to forecast if passengers in NYC TLC taxi cabs will tip generously. This initiative intends to provide useful insights into how to increase driver earnings and improve the overall passenger experience in the city's busy transportation network.

Claim classification

PYTHON | Logistic Regression

TikTok, a widely used social media platform, has commissioned an external data team for a machine learning project with the goal of improving the accuracy of claim classification for user submissions on their platform by developing a logistic regression model to forecast the verified status of user accounts, a significant step toward improving content moderation and increasing user engagement.

User churn

PYTHON | statistical hypothesis testing

As part of the Waze Data Team, we are embarking on a data analytics project with the objective of enhancing overall growth by reducing monthly user attrition on the Waze app. This initiative is geared towards gaining deeper insights into user behavior, enabling Waze to implement strategies that will foster user engagement and satisfaction, thereby ensuring a sustained and thriving community of Waze app users.

TABLEAU Projects

Public records | Kaggle

I leverage TABLEAU to distill valuable insights from diverse data sources, including public records and Kaggle datasets. Additionally, I strive to make the data accessible and understandable to a wide audience, enhancing the project's overall value.

Phone

(+212) 6.73.86.46.92

Email

boucasap@gmail.com

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