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Usamah S.US

Usamah S.

Data Analyst | Automation/Anomaly Detection

€400/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Usamah

Data Analyst with a Master's degree in Applied Mathematics for Financial Engineering, and professional experience in demanding data environments. I help companies transform their data into reliable and directly actionable insights.

During my experiences, notably as a Data Analyst at Groupama GAN, I contributed to business-critical data projects: automating and ensuring the reliability of processes, optimizing critical programs, and implementing decision-making reporting used by teams managing several hundred thousand clients.

I master the entire analytical cycle: data preparation and structuring, exploratory analysis, segmentation and modeling (statistical and machine learning), with particular attention to data quality and business understanding of the results.

My skills cover Python, SQL, SAS, Advanced Excel, and visualization tools. I undertake missions in data analysis, reporting, predictive analysis, and decision support, regardless of the sector or data volume.

Rigorous, autonomous, and results-oriented, I engage as an analytical partner with a clear objective: to produce useful, reliable, and measurably impactful analyses.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

  • Urdu

    Native or bilingual

Can work on-site
Paris (up to 10km), Antony (up to 10km)

Experience

  • Groupama GAN
    Data Analyst
    BANKING AND INSURANCE
    October 2024 - October 2025 (1 year)
    92000 Nanterre, France
    I ensured the reliability and automation of business processes for over 500,000 clients by developing 10 recurring programs (2 weekly, 8 monthly) with SQL and Excel, guaranteeing data integrity and continuity. I optimized and developed over 20 critical programs in preparation for the decommissioning of 6 tables, while creating 2 new programs with reporting and visualization, in coordination with business teams to align processes with operational needs. I led a predictive analysis and client profiling project, using clustering and ML models in Python, to identify at-risk clients and detect declining agencies, providing actionable insights to prioritize actions and anticipate weak signals.
    SQL Python Data Analysis Microsoft Power BI Automation
  • COMEARTH
    Call Center Agent
    July 2021 - August 2021 (1 month)
    Orsay, France
    Technical support for 50+ users/day, diagnosing and resolving incidents related to the TousAntiCovid application, applying GDPR, and informing about health measures.
    GDPR Autonomy Problem Solving Technical Support

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Education

  • Master Applied Mathematics for Financial Engineering
    CYTech Cergy
    2025
    Data & Informatique (Majeur de Promotion) Python : Data Science, Machine Learning, Big Data, modélisation financière et analyse prédictive SQL : traitements statistiques, fiabilisation et automatisation de données, reporting RStudio : extraction, manipulation et analyse avancée de données Matlab : résolution de systèmes linéaires complexes Projets tutorés : implémentation de modèles, analyses chiffrées, rapports techniques en LaTeX Pack Office: Excel avancé, Word, PowerPoint Mathématiques Calculs stochastiques, optimisation, probabilités appliquées, équations différentielles (EDO/EDP), séries temporelles, analyse des risques extrêmes (VaR, EVT), modélisation de produits financiers et assurance, intégrales complexes et courbes fractales (Peano, Hilbert), techniques numériques (Matlab, Python) Assurance & Finance Assurance : modélisation actuarielle (prévision coûts et sinistres), assurance vie, crédibilité Finance : gestion de portefeuille, risques financiers, fixed income, Interest Rates (IREIM), Theory of Contingent Claims – produits dérivés, gestion des risques et valeurs extrêmes, calibration et simulation (Dupire, Levenberg-Marquardt, Vasicek, Delta Hedging), FinTech / RegTech / InsurTech, analyse pratique via Bloomberg
  • Bachelor of Science in Mathematics
    Paris-Saclay University Orsay
    2022
    Mathématiques : Analyse Matricielle - Algèbre - Équations Différentielles - Probabilités Calcul Différentiel - Optimisation - Analyse de données - Analyse Hilbertienne Informatique :SAS (Initiation aux outils de traitement statistique et manipulation de données) - Python - RStudio - LaTeX - Introduction à OCaml et manipulations avancées Introduction à C++ et manipulations simples - Pack Office

Skill set

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