Freelance Data Analyst with experience developing and deploying data analytics solutions using machine learning and natural language processing techniques. Experienced in data mining, statistical modeling, data pipelines…
Freelance Data Analyst with experience developing and deploying data analytics solutions using machine learning and natural language processing techniques. Experienced in data mining, statistical modeling, data pipelines, dashboards, and cross-functional collaboration across multiple data analysis roles in Rabat and Tangier.
Developed and deployed data analytics solutions leveraging machine learning (ML) and natural language processing (NLP) techniques to generate actionable insights from diverse data sources.
Utilized advanced data mining and statistical modeling techniques to analyze 10+ large datasets, uncovering hidden patterns and trends to support business decision-making.
Implemented robust data pipelines to integrate, aggregate, and prepare data from various sources, ensuring 98% data integrity and consistency.
Designed interactive dashboards and visualizations to effectively communicate analysis results and enable data-driven decision-making for stakeholders.
Collaborated cross-functionally with 20+ business teams to understand their data requirements and translate them into data-driven solutions.
Developed and deployed data analytics solutions leveraging machine learning (ML) and natural language processing (NLP) techniques to generate actionable insights from diverse data sources.
Utilized advanced data mining and statistical modeling techniques to analyze 10+ large datasets, uncovering hidden patterns and trends to support business decision-making.
Implemented robust data pipelines to integrate, aggregate, and prepare data from various sources, ensuring 98% data integrity and consistency.
Designed interactive dashboards and visualizations to effectively communicate analysis results and enable data-driven decision-making for stakeholders
Collaborated cross-functionally with 20+ business teams to understand their data requirements and translate them into data-driven solutions.
Developed a document analysis solution using NLP techniques to extract key insights from a corpus of 50,000+ unstructured textual documents.
Utilized transformer models like BERT, GPT, and LLaMA to build customized language understanding and generation capabilities tailored to document processing tasks such as document summarization, information extraction, and content generation.
Implemented robust data pipelines to clean, preprocess, and featurize large document datasets across various formats and domains.
Designed user-friendly visualizations and dashboards to enable interactive exploration and analysis of the extracted insights.
Developed a comprehensive data analytics solution for a mobile banking application, enabling the extraction of valuable insights from 15,000+ user interactions and transactional data.
Utilized ML and NLP techniques to build 2 robust data processing and analysis capabilities, including customer segmentation (5 segments), behavior analysis, and anomaly detection.
Integrated the data analytics solution with the bank's core systems and APIs, enabling seamless data flow and real-time monitoring of key performance indicators.
Implemented 4 advanced data visualization and reporting tools to facilitate data-driven decision-making and support business strategy.
Continuously optimized the data analytics solution through agile iterative refinement cycles, leveraging user feedback and expanding the data sources to enhance the quality and relevance of the insights.
Established data governance and documentation standards, improving team collaboration and ensuring the reproducibility and maintainability of 6 data analysis workflows.
Conception developed and implemented a data extraction and analysis framework to extract insights from a dataset of 500,000+ Moroccan job postings.
Designed and optimized a robust database structure to efficiently store and manage the job postings data and the extracted insights.
Utilized advanced ML algorithms and pre-trained models to accurately identify and categorize 32000+ skills within the job postings.
Collaborated with 12 cross-functional teams to translate business requirements into data-driven solutions and ensure the relevance and impact of the analysis outputs.
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