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Claudine UWITIJE

Claudine UWITIJE

Data Analyst / Analytics Engineer

Data Science Tech Institute - School of Engineering, France | France

Technologies

My Portfolio Highlights

My New Workbook

Project: Analyzing Motorcycle Part Sales using SQL

My New Course

Case Study: Inventory Analysis in Power BI

My New Workbook

Project: Analyzing Students' Mental Health using SQL

Data analyst / Analytics Engineer

My Work

Take a look at my latest work.

DataLab

Project: Analyzing Motorcycle Part Sales using SQL

DataLab

Project: Analyzing Students' Mental Health using SQL

dataset

Inventory Analysis project using Power BI

DataLab

Project: Exploring NYC Public School Test Result Scores using Python

DataLab

Visualizing the History of Nobel Prize Winners using Python

DataLab

Project: Investigating Netflix Movies using python

notebook

Project: Investigating Netflix Movies — DataLab

Python
notebook

GitHub - claudineuwitije/Book-Rating-Prediction-Model: This project aims to build a machine learning model capable of predicting a book’s rating by analyzing various features associated with books, such as title, author, number of pages, publication year, review counts etc.

Python

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

O'Reilly Excel 2021/365 - Beginner to Advanced

O'Reilly Pandas for Beginners - A Quick Guide

Neo4j Graph Academy Neo4j certification

Microsoft Power BI Data Analyst Associate

DataCamp Course Completion

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

My Work Experience

Where I've interned and worked during my career.

Data Science Tech Institute | Apr 2024 - Mar 2026

Applied MSc student in Data analytics

Applied MSc in data Analytics at DSTI, Paris, to facilitate a smooth transition into data field

Eu Amazon | Jun 2025 - Nov 2025

BI Engineer / Data Analyst

• Developed and optimized scalable ETL pipelines using SQL and Apache Airflow, enabling efficient extraction, transformation, and processing of operational and forecasting datasets, which improved data availability, reliability, and pipeline performance. • Designed and deployed interactive dashboards in Amazon QuickSight (a BI tool comparable to Looker) to monitor forecast accuracy, operational KPIs, and planning metrics, enhancing visibility and facilitating data-driven decision-making. • Created and implemented data models to structure and standardize datasets for analytical use. • Automated end-to-end reporting workflows, reducing manual operational workload by 70% (~2.1 FTE) and improving process efficiency and scalability. • Conducted in-depth analysis to identify trends, anomalies, and performance gaps. • Improved data documentation and reporting consistency, facilitating better data governance.
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United Nations - MINUSMA | Jul 2020 - Sep 2023

Project Engineer

* Project data analysis for resources mobilization * KPI data monitoring to track project progress and success * Project progress & annual reports and result Visualization

LA ROUTE AFRICAINE | Feb 2017 - Jul 2020

Civil Engineer (Cost Estimation engineer)

* Data analysis for fund mobilization project proposals * Project metrics utilization to estimate project costs/budget * Project portfolio management

African Development Bank | Feb 2016 - Dec 2016

Monitoring and Evaluation Junior Consultant - ICT & Transport Department

* Project impacts visualization * Performed descriptive statistics project impacts * Project concept notes development outlining objectives

My Education

Take a look at my formal education

Applied MSc in Data Analytics in Data AnalyticsDSTI - School of Engineering | 2026
Master of Business Administration - Big Data management in MBA in Big data managementIU International University of Applied Sciences, German | 2025
Bachelor of Engineering - BE, Civil Engineering in Civil Engineering National University of Rwanda | 2012

About Me

Claudine UWITIJE

Data analytics with an MSc in Data Analytics and experience building scalable pipelines and BI solutions (SQL, Python, AWS, Power BI). At Amazon, automated reporting, reducing manual work by 70%. Skilled in data modeling, KPIs, and dashboards

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