Feb 2024 – Nov 2024 · 9 mos · Bridgend · Remote

• + Designed and implemented enterprise BI solutions across 6 countries with row-level security (RLS) in PowerBI, building MLOps pipelines on Microsoft Fabric for automated model training, versioning, and deployment across 15+ client use cases
• + Engineered and deployed 12+ machine learning models in production using Azure ML and MLflow for client projects including predictive maintenance models for automotive parts manufacturers, serving 500K+ monthly predictions
• + Built scalable feature engineering pipelines in Microsoft Fabric using PySpark to process 20+ GB datasets, reducing data processing time by 60% and enabling real-time ML inference for multi-national clients
• + Developed predictive maintenance models for automotive supply chain clients, forecasting equipment failures with 85% accuracy and reducing unplanned downtime by 30%

Dec 2023 – Jan 2025 · 1 yr 1 mo · Orlando, FL · Remote

• + Architected ML infrastructure for meeting optimization SaaS, implementing predictive models using time-series analysis and calendar data to recommend optimal meeting times, reducing unnecessary meetings by 72% and increasing productivity by 3x
• + Led the development of 3 production AI features leveraging LLMs (GPT-4) and custom ML models including meeting necessity classifier, intelligent scheduling engine, and automated agenda generation, contributing to 40% increase in user engagement
• + Built automated model retraining workflows and A/B testing frameworks for continuous improvement of meeting recommendation algorithms, improving prediction accuracy by 31% over 6 months

Aug 2023 – Dec 2023 · 4 mos · Remote

• + Developed a predictive sales forecasting model using XGBoost and time-series analysis, improving forecast accuracy by 28% and directly contributing to a 15% revenue increase
• + Built and fine-tuned NLP sentiment analysis models on 50K+ customer reviews, extracting actionable insights that informed product roadmap decisions for 3 key features
• + Conducted competitive benchmarking analysis using ML clustering techniques to identify 5 high-impact workflow optimizations, increasing sales team efficiency by 22%

Mar 2023 – Feb 2024 · 11 mos · Remote

• + Architected and deployed end-to-end ML pipelines for customer churn prediction using ensemble methods (Random Forest + Gradient Boosting), reducing churn by 18% across 200+ active customers and improving retention strategies
• + Implemented automated anomaly detection systems using Isolation Forest algorithms to identify fraudulent orders and shipping irregularities in real-time, reducing fraud losses by 27%
• + Led data science initiatives including product recommendation models, automated sales analytics pipelines, and strategic reporting to senior partners, driving data-informed decisions for inventory and marketing optimization

May 2022 – Mar 2023 · 10 mos · Cardiff, Wales, United Kingdom

• Certified Heroic Life Coach

Sep 2021 – Feb 2022 · 5 mos

• + Built and deployed a classification model using scikit-learn to predict product quality defects from sensor data, achieving 82% accuracy and reducing manual inspection time by 40%
• + Implemented automated data preprocessing pipelines in Python to clean and transform IoT sensor data from manufacturing equipment, reducing feature engineering time from 8 hours to 45 minutes per dataset
• + Optimized ML model training pipelines for real-time quality monitoring by refactoring code and implementing vectorized operations, reducing execution time by 35%

Mar 2021 – Aug 2021 · 5 mos

• + Designed maintenance software ‘Coswin 7’ and trained technical staff to use it for preventive and corrective maintenance.
• + Trained a newly hired maintenance technician to manage and use Coswin 7 for troubleshooting and effective use.
• + Automated part of the process concerning the dosing and transfer of chemicals for cleaning purposes using Allen Bradley API language.
• + Supervised and visualized in real-time the automated process via RSLogix 500.
• + Worked with IO-Link, a modern technology of sensor/actuator that was added to the company’s workflow.

Aug 2019 – Sep 2019 · 1 mo · Kénitra, Gharb-Chrarda-Beni Hssen, Morocco

• + Exploring the industrial world, API's, sensors, programs, servers, machines, supervision, maintenance...

Sep 2015 – Feb 2022 · 6 yrs 5 mos · Morocco

• Collective created with a bunch of friends in 2015, eager to grow the Moroccan musical scene.
• As a co-founder and musician I dealt with :
• + 10+ High-quality events all over Morocco
• + Booking 16 International renowned artists.
• + Budgets ranging from 1000-13500£.
• + Communication over Facebook and Instagram + Ads
• + Performing live as a professional around Morocco and France