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omar_touza

Omar T

@omar_touza

Data Analyst

Marokko
Französisch, Arabisch, Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I build analytics systems that tell businesses who their customers are and where their revenue is going. My background spans manufacturing, real estate, and e-commerce — delivering ETL pipelines, dashboards, and predictive models that stakeholders actually use. Three published portfolio projects cover 1M+ transactions, probabilistic CLV modeling, and NLP sentiment analysis, all documented on GitHub and give you an insight on the work I deliver. Stack: Python, SQL, Tableau, BigQuery, Looker Studio, PowerBI, Excel.... Mehr lesen

Kompetenzen

o
omar_touza
Omar T
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Daten-Dashboards
I will build you a professional tableau or looker studio dashboard
Datenanalyse-Beratung
I will analyze your data and deliver a stakeholder friendly report

Portfolio

Arbeitserfahrung

Self_Employed

Self Employed

Selbstständig • 3 yrs 5 mos

Independent Data Analytics Consultant

Jul 2023 - Present3 yrs 1 mo

Delivered ETL pipelines and Tableau/Looker dashboards for e-commerce and marketing agency clients, including client segmentation and revenue forecasting. Database setup and data quality validation. Completed ~5 substantive consulting projects, applying Python, SQL, Tableau, Excel, and BigQuery

Data Analyst Intern - Nexity

May 2020 - Sep 20204 mos

Led independent design and delivery of a multi-property Tableau dashboard tracking occupancy, revenue, and KPIs across three buildings, from stakeholder mockups to final delivery Designed and ran tenant/prospect satisfaction surveys across a 300+ unit student housing portfolio; built segmentation and profiling analysis to identify high-value tenants and default risk indicators Established data entry conventions in SIGEO and automated cleaning workflows in Python, improving upstream data quality

Renault

Data Analyst Intern

Renault

Mar 2018 - Aug 20185 mos

Built a Python ETL pipeline extracting and transforming SAP CO/MM cost and defect data into Google BigQuery across 5 production workshops. Developed a Looker Studio executive dashboard covering budget variance, defect cost rankings, and KPIs used by 4 finance directors, automated via scheduled local pipeline runs.