نبذة عني
Senior Data Scientist with 10+ years of experience applying machine learning, statistical analysis, data engineering, and advanced analytics techniques to solve complex business problems. Experienced developing predictiv…
Senior Data Scientist with 10+ years of experience applying machine learning, statistical analysis, data engineering, and advanced analytics techniques to solve complex business problems. Experienced developing predictive models, analytical datasets, machine learning workflows, and data-driven solutions using Python, SQL, PySpark, and cloud data platforms. Skilled in analyzing large datasets, identifying trends, building reusable data pipelines, creating visualizations, and communicating insights to technical and business stakeholders. Strong background in Databricks, Snowflake, distributed data processing, feature engineering, AI/ML applications, and scalable analytics solutions.
الخبرة
Senior Data Scientist / AI Data Platform Engineer
<p>Developed machine learning and analytics solutions using Python, SQL, and distributed computing technologies to support business decisions.</p><p> Analyzed large and complex datasets to identify patterns, trends, and actionable insights.</p><p> Built predictive analytics workflows, feature engineering pipelines, and model-ready datasets for machine learning applications.</p><p> Designed scalable data processing solutions using Python, SQL, Spark, Databricks, and cloud data platforms.</p><p> Performed exploratory data analysis and statistical analysis to evaluate business problems and improve decision-making.</p><p> Developed data validation processes to improve accuracy, reliability, and consistency of analytical datasets.</p><p> Created analytical datasets and visualizations to communicate findings to technical and non-technical stakeholders.</p><p> Collaborated with engineering, product, analytics, and business teams to translate requirements into data-driven solutions.</p><p> Improved analytical workflows through automation, reusable data pipelines, and scalable processing approaches.</p><p> Supported best practices around data quality, documentation, experimentation, and machine learning workflows.</p>
Data Scientist / Machine Learning Engineer
<p>Developed machine learning and analytics solutions using Python, SQL, Spark, and cloud-based data platforms.</p><p> Performed data analysis on large datasets to identify trends, relationships, and opportunities for improvement.</p><p> Built predictive models and analytical workflows supporting business and operational use cases.</p><p> Developed feature engineering pipelines and structured datasets for machine learning applications.</p><p> Created data processing workflows using Spark and distributed computing technologies.</p><p> Built reporting datasets and dashboards supporting analytical decision-making.</p><p> Implemented data quality checks, validation processes, and monitoring for analytical solutions.</p><p> Collaborated with data engineers, analysts, and business teams to deliver production-ready solutions.</p><p> Supported model evaluation, performance analysis, and continuous improvement initiatives.</p>
Data Analyst / Data Engineer
<p>Developed SQL and Python-based data solutions supporting analytics and reporting initiatives.</p><p> Prepared, transformed, and validated datasets for analytical applications.</p><p> Built ETL workflows integrating data from multiple enterprise sources.</p><p> Created analytical datasets supporting business reporting and operational insights.</p><p> Developed automation scripts improving data processing efficiency and reliability.</p><p> Collaborated with engineering teams to improve data workflows and analytical capabilities.</p>