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Karl Mbouombouo

Karl Mbouombouo

Data Scientist / Machine Learning Engineer

University of Evansville

Technologies

Analytical pioneer, exploring uncharted territories in the world of data.

My Work

Take a look at my latest work.

project

Investigating Netflix Movies

Python
project

Hypothesis Testing with Men's and Women's Soccer Matches

R
DataLab

Project: Investigating Netflix Movies

project

Predicting Credit Card Approvals

Python
project

Investigating Netflix Movies

Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Introduction to Statistics in Python

My Work Experience

Where I've interned and worked during my career.

Societe Generale | Jul 2023 - Mar 2024

Data Scientist/Engineer

• Developed linear models, machine learning models (such as Gradient Boost Machine, Support Vector Machine, Random Forest), and deep learning/AI models for financial forecasting. • Utilized Talend and Snowflake for efficient ETL processes, reducing data integration time by 30% and enhancing data accessibility for analytics. • Created interactive data visualizations and reports that effectively communicated findings to stakeholders, leading to an increase in actionable insights derived from data analysis.
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Demeter Logistics | May 2022 - Mar 2023

Data Scientist

• Developed and implemented statistical models and machine learning algorithms that improved prediction accuracy by 25%, enhancing decision-making processes for marketing strategies. • Built data processor using kinematics theory and physics metrics to provide near real-time ETA, resulting in higher customer satisfaction rates. • Leveraged SAS for advanced statistical analysis, increasing the accuracy of demand forecasts by 20%.

My Education

Take a look at my formal education

Bachelor of Science in Statistics & Data Science, and Applied MathematicsUniversity of Evansville | 2022

About Me

Karl Mbouombouo

Highly skilled & motivated software professional with experiences in data science, machine learning, data engineering, and statistical analysis. Adept in using Python, R, JavaScript, SQL and AWS. Strong experience in leveraging advanced mathematics.

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