Dolores Valide - Data Scientist | Data Analyst | Consultant

Data is the rising value of this decade, and how about I help you make the most of yours?!

Hi, I’m Dolores, a data scientist who can work on your data science projects, but also on data analysis or business intelligence topics.
Here, you’ll find my background and my projects, showcasing my passion for data.

I’m always open to new opportunities and collaborations. Feel free to reach out to me through the following platforms:

Table of Contents

• What I Can Offer You
• Technical Skills
• General Skills
• Publications
• Projects
  • Analysis of road accidents in France for minors under 10 years old
  • Phone plan sales analysis dashboard
  • Debt recovery analysis dashboard
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Time Series
  • Advanced Project (Deep Learning/NLP)

Version Française

What I Can Offer You

✅Insight Discovery
✅Decision Support
✅Trend Analysis
✅Problem Solving
✅Critical Thinking
✅Continuous Improvement

Technical Skills

Data Engineering	Data Analysis	Data Computing & Databases

General Skills

• Data Modeling
• Data Cleaning
• Feature Engineering
• Predictive Modeling
• Machine Learning
• Data Visualization
• Communication
• Agile

Publications

Medium: Data Science vs. Algorithmic Trading: A Clash of Technological Titans

Projects

Analysis of road accidents in France for minors under 10 years old

• Description : This project aims to raise awareness of the dangers of the road for young people. I first carry out an exploratory analysis and then predict the severity of an accident based on several factors.
• Compétences : EDA, python,supervised regression
• • Lien vers le projet : Lien GitHub

Phone plan sales analysis dashboard

• Description: This project explores sales data from SmartFun Telecom Ltd, specifically their mobile plan sales, providing key insights through visualizations and statistical analysis. I used EDA techniques to uncover trends and hidden relationships within the data.
• Skills: Power BI This report shows sales by region, product, and period, providing an overview of business performance.

Debt recovery analysis dashboard

• Description: This project explores debt collection data, providing key KPIs through visualizations and statistical analysis.
• Skills: Power BI

Supervised Machine Learning

• Description: In this project, I built a regression model to predict the energy consumption of buildings. The model was evaluated using metrics such as RMSE, R², and MAE. Various algorithms were tested: SVR, RandomForest, Elastic Net, LGBM
• Skills: EDA, Scikit-learn, Feature Engineering, Parameter Tuning, Cross-Validation
• Project Link: GitHub Link

Unsupervised Machine Learning

• Description: This project involves clustering e-commerce customer data into meaningful groups using [K-means/DBSCAN/PCA].(#K-means/DBSCAN/PCA)
• Skills: Scikit-learn, Clustering, PCA, RFM
• Project Link: GitHub Link