datatoldright.com

Hi, my name is Zaïda Rivai

and I'm a Data Scientist and Machine Learning Engineer.

About

Hey there! I'm Zaïda, a dedicated Data Scientist and Machine Learning Engineer with an extensive background in Computational Sciences and Artificial Intelligence. I've worked across various fields, including healthcare and blockchain & Web3, leading projects that push technology forward and create real postive impact.

Skills and Services

Skills

Research & Analytical Thinking
Data Analysis & Statistical Analysis
Artificial Intelligence & Machine Learning
Predictive Modeling
Assessment & Report Writing
Big Data Analytics

Services

Data Analysis
Predictive Modeling & Data Forecasting
Model Building
Quarterly Reports
Custom Data Solutions
AI Integration for Business

“

My passion is turning any data into insights that matter.

”

Early 2023, I decided to start my own consultancy

so I could help small to medium-sized businesses with their numbers and data. I believe that entrepreneurs and company owners at every level should have access to data insights

and meaningful mentorship.

Together, let's make your business thrive.

I've worked with different companies and corporations over the years.

KPMG / Medical University of Vienna / Danube Tech / Entrepreneur First Paris / Others

Financial Data

I have completed a range of projects involving financial data. These include advanced forecasting models and the prediction of intricate, nested layers within financial statements, delivering insights that enhance financial decision-making.

Clinical Data

I have worked extensively with clinical data, including a notable project where I designed a model to predict disease progression in patients with Rheumatoid Arthritis. This project utilized semi-quantified X-ray data to improve treatment strategies.

Diverse Data Projects

Beyond finance and healthcare, I’ve applied my expertise to various domains. My work includes using vehicle data to optimize maintenance schedules, analyzing blockchain data for live dashboard integration, and leveraging farmers’ data to enhance fertilization practices.

Global Contributions and Thought Leadership