Hello, I amMouad Bakhchane

Companies call me when their Data, BI, and ML have become unmanageable: inconsistent figures, fragile pipelines, unreadable dashboards, and unreliable models.

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Reports Industrialized

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ML Models Built

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Sectors: E-commerce, Retail, SaaS, Fashion

Mouad Bakhchane

MICROSOFT PL-300

Power BI Data Analyst Associate

Current Situation

When Your Data, BI, ML & Automation Is Off Track

Feel like your data is slowing you down instead of helping? Here are typical symptoms.

Inconsistent figures across reports.
Fragile pipelines and slow refreshes.
Unreadable dashboards, unreliable models.
Technical debt, unscalable architecture.
Management no longer trusts the data.
Manual processes and spreadsheets everywhere.

If you check 2-3 boxes, we need to talk.

Brief Me
Expertise

Data Analytics

Transforming raw data into a reliable source of truth using robust star schemas and scalable pipelines.

Data Visualization

Building high-impact dashboards with actionable design for instant data-driven decisions.

Data Science, ML & AI Automation

Deploying production-ready models to predict outcomes and automate workflows using MLOps.

How I Help

I bridge the gap between raw data and operational intelligence. Whether fixing slow dashboards or deploying local models to production, I build scalable systems you can trust.

Expert in BI reconstruction, Predictive ML, and MLOps. Beyond code, I establish the governance needed to keep your data stack solid as you scale.

50+
Systems Rebuilt or Industrialized (BI & ML)
15 min
Refresh Time Achieved (vs 18h before)
Predictive Intelligence & MLOps

Bridging the Gap Between Data & Production

I don’t just build models; I build reliable systems. Focusing on the MLOps lifecycle to ensure insights don't stay trapped in notebooks.

Predictive Intelligence

Demand Forecasting

Using advanced time-series models (XGBoost, LSTMs) to predict future sales, reducing stockouts and minimizing capital tied up in excess inventory.

Customer Churn & LTV

Identifying at-risk customers before they leave and scoring leads to focus your sales team on the highest-value opportunities.

Anomaly Detection

Implementing real-time monitoring to detect fraud, equipment failure, or operational irregularities before they escalate.

The 7 Pillars of my MLOps Blueprint

Clean Project Structure

Version Control

Experiment Tracking

Reproducible Env

Model Deployment

Model Monitoring

Automated Pipelines

Zero-Waste Policy

"If a model doesn't directly improve your bottom line or save your team time, I don't build it."

How We Work Together

Three clear steps to get your BI back on track, from diagnosis to team adoption.

BI Diagnosis

Model analysis, KPIs, pipelines, performance, governance.

Deliverable: Current state + Prioritized action plan.

Complete Reconstruction

Model, SQL, Snowflake, Power BI, security, industrialization.

Deliverable: Rebuilt BI, documented, ready to scale.

Adoption & Transfer

Documentation, training, support for management & teams.

Deliverable: Autonomous teams, governance in place.

About Me

Bridging the Gap:
Data, Science & Business

I am a Data Scientist & Analyst with a background in Business, specializing in turning raw data into production-ready intelligence. I help companies bridge the gap between technical complexity and business ROI.

What I bring to the table:

Dual Perspective

I speak the language of P&L and KPIs while architecting solutions in SQL, Python, and MLOps.

Notebooks to Production

I don’t just build models; I build reliable systems. I move AI from research to reality by deploying stable, automated environments.

Full-Cycle Delivery

From deep-dive statistical analysis and visualization to industrializing ML models for long-term scalability.

The Stack

SQL
SQL
Python
Python
Power BI
Power BI
Docker
Docker
FastAPI
FastAPI
Streamlit
Streamlit
Colab
Colab
AWS
AWS
Azure
Azure
Portfolio

Real-World Use Cases

See how I apply data engineering and machine learning to solve actual business problems.

Flight Price Prediction
Machine Learning

Flight Price Prediction

Analyze and predict flight prices in the Indian Aviation Market. Built a Gradient Boosting Regressor model to estimate fares based on airline, route, and timing.

PythonStreamlitPandasScikit-learnPlotly
Churn Prediction
Machine Learning

Churn Prediction

Identify customers likely to leave and retain them proactively. Built a binary classification model to predict churn risk and enable proactive retention strategies.

PythonPandasScikit-learnStreamlit
Optimization

Dynamic Pricing

Adjust prices based on demand, time, or competitor data. Implemented regression and optimization models to maximize revenue dynamically.

Time Series

Demand Forecasting

Predict future product demand to manage inventory. Built forecasting models using ARIMA and LSTM to optimize stock levels and reduce waste.

Collaborative Filtering

Recommendation System

Suggest products/content to increase engagement or purchases. Implemented collaborative filtering and ML-based recommendations using graph databases.

Classification

Marketing Response

Predict customer likelihood to respond to campaigns. Built classification models to optimize targeting and improve marketing ROI.

Testimonials

They Trust Me

"Mouad transformed our manual reporting into a war machine. What took us 2 days now takes 2 minutes."

Sarah Martin

Sarah Martin

CFO, TechFlow Solutions

"The audit of our data pipelines revealed critical flaws. Thanks to his intervention, our KPIs are finally 100% reliable."

Thomas Dubois

Thomas Dubois

Head of Data, RetailConnect

"Rare technical expertise coupled with real business understanding. An indispensable partner for our growth."

Elise Renard

Elise Renard

COO, GreenEnergy Corp