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Resume Data Scientist in Morocco Casablanca – Free Word Template Download with AI

Data Scientist | Morocco Casablanca

Email: [email protected] | Phone: +212 6 55 66 77 88 | LinkedIn: linkedin.com/in/jamal-el-mouden

Results-driven Data Scientist with a strong background in leveraging data analytics, machine learning, and statistical modeling to solve complex business problems. Proficient in Python, R, SQL, and advanced tools like TensorFlow and Tableau. Adept at translating data insights into actionable strategies that drive growth and innovation. Committed to contributing to the dynamic tech ecosystem of Morocco Casablanca by delivering impactful solutions tailored to local market needs.

Passionate about applying data science expertise in sectors such as finance, e-commerce, and logistics—key industries thriving in Morocco Casablanca. Recognized for ability to thrive in fast-paced environments while maintaining a focus on accuracy, creativity, and ethical standards. Proven track record of delivering projects that align with organizational goals and contribute to sustainable development.

  • Programming Languages: Python, R, SQL, JavaScript
  • Data Analysis Tools: Pandas, NumPy, Scikit-learn, TensorFlow
  • Data Visualization: Tableau, Power BI, Matplotlib/Seaborn
  • Big Data Technologies: Hadoop, Spark
  • Cloud Platforms: AWS (S3, EC2), Google Cloud Platform
  • Machine Learning: Supervised/Unsupervised Learning, Deep Learning, NLP
  • Databases: MySQL, PostgreSQL, MongoDB

Data Scientist

SmartAnalytics Solutions (Casablanca, Morocco) | Jan 2021 – Present

  • Developed predictive models to optimize supply chain operations for e-commerce clients in Morocco Casablanca, reducing delivery times by 18%.
  • Created data visualization dashboards using Tableau to monitor key performance indicators (KPIs) for financial institutions in the region, enhancing decision-making processes.
  • Collaborated with cross-functional teams to implement machine learning algorithms that improved customer segmentation and targeted marketing strategies by 25%.
  • Conducted A/B testing to evaluate user engagement on mobile applications, leading to a 12% increase in user retention rates for local startups in Casablanca.

Data Analyst

FinTech Innovations (Casablanca, Morocco) | Jul 2019 – Dec 2020

  • Analyzed transactional data to identify fraud patterns, resulting in a 30% reduction in fraudulent activities for fintech platforms in Morocco Casablanca.
  • Designed and deployed Python-based scripts to automate data collection and preprocessing, saving 20 hours weekly for the analytics team.
  • Produced reports using Power BI that highlighted trends in customer behavior, aiding product development teams in tailoring offerings to regional preferences.
  • Partnered with marketing departments to analyze campaign performance, increasing ROI by 15% for localized campaigns targeting Casablanca's urban population.

Intern – Data Science

AzurTech (Casablanca, Morocco) | Jun 2018 – Aug 2018

  • Assisted in building a recommendation system for an online marketplace, boosting user engagement by 10% during the internship period.
  • Conducted exploratory data analysis (EDA) on customer feedback data to identify areas for improvement in service delivery, leading to actionable insights for the operations team.
  • Supported the development of a sentiment analysis tool using NLP techniques, enhancing understanding of customer sentiment in Moroccan markets.

MSc in Data Science

École Supérieure de Technologie (EST) – Casablanca, Morocco | 2018 – 2020

  • Courses in machine learning, data mining, and statistical analysis.
  • Thesis: "Predictive Modeling for Urban Traffic Management in Morocco Casablanca" – Achieved distinction (Grade: 18/20).

BSc in Computer Science

Université Hassan II – Casablanca, Morocco | 2015 – 2018

  • Specialized in algorithms, data structures, and software development.
  • Graduated with honors (Grade: 17/20).

Smart City Traffic Prediction System (Morocco Casablanca)

Technologies: Python, TensorFlow, Flask

  • Built a machine learning model to predict traffic congestion in key areas of Casablanca using historical and real-time data.
  • Developed a web interface for local authorities to monitor and manage traffic flow efficiently.

E-commerce Customer Segmentation

Technologies: R, K-means Clustering, Tableau

  • Analyzed customer data from a local e-commerce platform to segment users based on purchasing behavior.
  • Generated visualizations to guide targeted marketing strategies for different customer groups in Morocco Casablanca.

Sustainable Agriculture Analytics

Technologies: SQL, Python, Power BI

  • Created a dashboard to analyze crop yield data from Moroccan agricultural regions.
  • Provided insights to optimize resource allocation and reduce environmental impact in the agriculture sector.

Languages

  • Arabic (Native)
  • French (Fluent)
  • English (Proficient)

Certifications

  • Google Data Analytics Professional Certificate | 2021
  • Microsoft Certified: Azure Data Scientist Associate | 2022
  • Coursera – Machine Learning by Andrew Ng (Stanford) | 2019

© 2023 Jamal El Mouden | Morocco Casablanca

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