Better inputs. Faster loading.
Developed Python workflows to clean and standardize daily sales files into 90-day rolling datasets, supporting more than 15 campaigns.
Data Analyst · Business Intelligence Analyst
Hi, I’m Michel.
Trusted data.Clearer decisions.
I build dashboards, automate reporting, and improve data quality so teams can understand performance and act with confidence.
3+ yearsin business intelligence
Michel Brian NguegangOperations background. Analytical mindset.
Tools behind
the work
the work
- Qlik Cloud
- Python
- SQL
- Excel
- Tableau
01 / Professional experience
Making the everyday
work better.
Business Intelligence Analyst · Credico
April 2023–Present · Chicago, Illinois
My work connects cleaner inputs, clearer reporting, and earlier problem detection across retail, insurance, and telecommunications campaigns.
75%
Average reduction in SQL database load times through Python data preparation.
Example: 90 minutes → 22 minutes20+ hrs
Saved weekly through automated Field Growth Analyzer reporting.
Qlik Sense CloudA clearer view of field growth.
Modeled Qlik dashboards around onboarding, net growth, retention, attrition, and turnaround. Built sales maps across states, counties, and ZIP codes to show geographic concentration.
Catch issues earlier.
Created Python notifications for data warehouse failures and discrepancies using Teams webhooks and email. Investigated missing files, data integrity issues, and sensitive-data handling.
02 / Selected projects
From question
to understanding.
Independent analyses, learning projects, and a tool I built to keep practicing. Explore the question, the work, and what the results actually tell us.
Case study 01 Featured analysis
Where sales growth
meets profitability.
Superstore Sales Analysis — exploring four years of retail orders to uncover regional performance, seasonal patterns, and products that sell at a loss.
Read the Superstore case study
Case study 02 · Google analytics capstone
Two rider types.
Different riding habits.
Divvy Bike-Share — comparing member and casual riding patterns to inform membership marketing and seasonal planning.
Explore the Divvy analysisCase study 03 · Predictive modeling
Understanding churn.
Questioning the score.
A bank customer-churn study exploring class imbalance, decision thresholds, and the importance of a trustworthy evaluation.
Read the modeling case study# Keep analytical SQL skills sharp. $ python trainer.py --mode practice 150 exercises · 5 practice tables Practice → Feedback → Review Python / DuckDB / pandas
Personal tool · Download available
A little practice.
A stronger SQL habit.
A local command-line trainer with exercises, hints, result checking, and saved review cards. Built for my own practice, available for yours.
Explore & download the trainer
Selected coursework · 2023
Exploring markets,
models, and methods.
Stock-market visualizations, ecommerce regression, and a deep-learning code-along. A look at the analytical foundations behind my work.
View the analytical studiesOriginal notebooks and source repositories are linked in each case study.
03 / Skills in context
The right tool.
A practical approach.
My strongest day-to-day experience is in Qlik Cloud, Python, and Excel, supported by SQL practice and a broader analytical toolkit.
In professional practice
Reporting, automation, and data quality at Credico.
- Qlik Sense Cloud & data modeling
- Python data preparation & automation
- Excel analysis & reporting
- SQL for data work
- Teams webhook notifications
- KPI reporting & data validation
Through projects & study
Hands-on learning, with context in the case studies.
- Tableau dashboards
- pandas, NumPy & DuckDB
- Joins, CTEs & window functions
- Matplotlib & Seaborn
- scikit-learn & logistic regression
- R in the Google analytics capstone
- TensorFlow / Keras coursework
Building broader foundations
Operations education and continued professional learning.
- Operations management
- Business analysis
- Power Query & DAX coursework
- AWS architecture certification
- Clear analytical communication
- English & French fluency
04 / A little about me
People first.
Data with purpose.
An operational issue may begin inside a system, but a person ultimately feels the result.
Before business intelligence, I learned about operations while working close to the people affected when a process worked well—or broke down. Shipping coordination at FedEx during college taught me to solve problems while work was already in motion. Customer support and hospitality showed me what those problems felt like on the other side.
That experience drew me to analytics: a practical way to understand what is happening, find the source of a problem, and improve what happens next. Today, I build reporting and monitoring that help teams spot issues earlier and make better-informed decisions.
Outside of work, I make music, enjoy traveling, and stay curious about languages and art. Having grown up across the U.S., Cameroon, and France, I’m fluent in English and French.
Education
The Ohio State University
Max M. Fisher College of Business
Bachelor of Science in Business Administration
Operations Management specialization · May 2022
Dean’s List, Spring 2021
Selected coursework: Business Statistics, Business Analytics, Six Sigma, Strategic Management, and Operations Planning.
05 / Credentials & learning
Curiosity,
put into practice.
Professional certification and completed courses that support my work in analytics, business intelligence, and cloud fundamentals.
AWS Certified Solutions Architect – Associate
Amazon Web Services
Issued March 2025 · Expires March 2028
Selected course completions
The Complete SQL Bootcamp: Go from Zero to Hero
UdemyPython for Finance: Investment Fundamentals & Data Analytics
UdemyView 7 additional course completions
LinkedIn Learning
LinkedIn Learning
LinkedIn Learning
LinkedIn Learning
LinkedIn Learning
LinkedIn Learning
06 / Let’s connect
Good questions.
Better possibilities.
I’m interested in data analyst, business intelligence, and related analytical roles across industries. Based in Chicago and open to remote and hybrid opportunities.
View my résumé