Alaeddine Zoghlami

Delivered advanced SQL analyses on BigQuery to monitor business KPIs and customer segmentation. Built dynamic dashboards using Power BI, Looker Studio. Automated end-to-end data pipelines on Google Cloud Platform (GCP). Enriched behavioral analytics using Piano Analytics and Google Analytics with Python. Trained business teams in data literacy and analytics tools. Led the ROPO (Research Online, Purchase Offline) project: goal setting, custom calculations, data storytelling, and dashboards. Optimized web performance, user engagement, and conversion rates. Tools: Power BI, BigQuery, GCP, SQL, Piano Analytics, Google Analytics, Looker Studio, Python

Developed LookerTrace to track dashboard usage and adoption. Created OctoGraph: auto-documentation of GCP assets using Streamlit. Deployed real-time alerting systems for incident and data quality monitoring. Designed new ETLs with Ataccama and integrated data flows into GCP. Led scoping workshops and mentored junior team members. Tech Stack: BigQuery, GCP, Python, SQL, Ataccama, Terraform, Docker, FastAPI, Linux, Gitlab, Cloud Run

Developed sales forecasting models using time series and hybrid methods. Assessed impact of pricing and delivery times on sales performance. Built predictive models to detect suspicious inventory and support replenishment. Designed and deployed predictive performance packages. Forecasted COVID-related sales and logistics flows. Implemented deep learning model to count parcels using image recognition (deployed with Cloud Run). Tools: Python, R, RShiny, SQL, GCP, Power BI, MLFlow, Airflow, Docker, Terraform

key words : Machine Learning, Imbalanced Classification,Clustering, SQL, R, R SHINY, DataViz, Text Mining ,Web scraping ...