Professional Skills Overview

As a Data Scientist and AI Engineering Specialist, I combine technical expertise with strong interpersonal skills to deliver impactful solutions. Below is a summary of my core competencies and tools.

Skills Summary

  • Python – Data Science, ML, Scripting
  • R – Statistical Analysis
  • SQL – Data Querying
  • Java – Backend, OOP
  • JavaScript – Web Development
  • C/C++ – Algorithms, Systems
  • scikit-learn – ML Models
  • TensorFlow/Keras – Deep Learning
  • XGBoost – Ensemble Methods
  • SMOTE – Data Balancing
  • GridSearchCV – Hyperparameter Tuning
  • pandas – Data Manipulation
  • NumPy – Numerical Computing
  • Feature Engineering
  • Scaling & Encoding
  • Matplotlib – Visualization
  • Seaborn – Statistical Plots
  • Plotly – Interactive Charts
  • Excel Dashboards
  • Streamlit – ML Apps
  • Flask, FastAPI – APIs
  • Git – Version Control
  • Docker – Containerization
  • SQLite, MySQL Workbench – Databases
  • HTML/CSS – Web UI
  • Linux – Dev Environment
  • Jupyter Notebook
  • VS Code
  • Leadership – Leading teams and initiatives
  • Communication – Written & verbal communication
  • Teamwork – Collaboration & cooperation
  • Problem-Solving – Analytical & creative thinking
  • Adaptability – Flexible & open to change
  • Time Management – Prioritization & efficiency
  • Critical Thinking – Objective analysis
  • Presentation – Public speaking & reporting
  • English – Fluent
  • French – Conversational
  • Spanish – Beginner
  • Wolof – Native

Technical Skills

An overview of my technical skills and proficiencies in various tools and technologies.

Programming Languages

Python, R, SQL, Java, JavaScript, C/C++

Core programming and scripting languages for analytics, ML, backend, and web development.

ML & AI

scikit-learn, TensorFlow/Keras, XGBoost, SMOTE, GridSearchCV

Experience building, tuning, and evaluating machine learning models using popular libraries. Skilled in deep learning, ensemble methods, data balancing, and hyperparameter optimization.

Data Processing

pandas, NumPy, feature engineering, scaling, one-hot encoding

Advanced data wrangling, cleaning, transformation, and feature engineering for robust model pipelines. Familiar with scaling and encoding techniques for ML readiness.

Visualization

Matplotlib, Seaborn, Plotly, Excel dashboards

Creating insightful and interactive data visualizations and dashboards for analysis and reporting, using both code and spreadsheet tools.

Deployment & Tools

Streamlit, Flask, FastAPI, Git, Docker, SQLite, HTML/CSS, MySQL Workbench, Linux

Deploying ML models and web apps, version control, containerization, database management, and working in Linux environments for end-to-end solutions.

Environments

Jupyter Notebook, VS Code

Daily use of interactive and code-centric environments for experimentation, prototyping, and production development.

Soft Skills

Key interpersonal and professional skills that support my technical work and leadership roles.

Leadership

Leading teams and initiatives

Experience in guiding teams, organizing events, and taking responsibility for group outcomes.

Communication

Written & verbal communication

Able to explain complex ideas clearly, present findings, and collaborate across diverse teams.

Teamwork

Collaboration & cooperation

Work effectively in group settings, value diverse perspectives, and contribute to shared goals.

Problem-Solving

Analytical & creative thinking

Approach challenges with logic and creativity to find effective solutions.

Adaptability

Flexible & open to change

Quickly adjust to new environments, tools, and requirements.

Time Management

Prioritization & efficiency

Organize tasks, meet deadlines, and balance multiple responsibilities.

Critical Thinking

Objective analysis

Evaluate information and arguments to make sound decisions.

Presentation

Public speaking & reporting

Confidently deliver presentations and share results with technical and non-technical audiences.

Projects