I am a results-driven Senior Data Scientist with over 7 years of experience in developing, deploying, and optimizing predictive analytics, machine learning, and decision intelligence solutions. I specialize in building and scaling ML models, data pipelines, and advanced analytics platforms using a variety of tools and cloud platforms. I am passionate about transforming large-scale raw data into actionable insights while ensuring compliance with regulations and governance standards. In my work, I collaborate closely with stakeholders to deliver measurable business impact in areas such as predictive modeling, fraud detection, and demand forecasting. I also enjoy mentoring teams, fostering a data-driven culture, and driving innovation through automation and scalable solutions that improve efficiency and accelerate business outcomes.

Moh Yash Mason

I am a results-driven Senior Data Scientist with over 7 years of experience in developing, deploying, and optimizing predictive analytics, machine learning, and decision intelligence solutions. I specialize in building and scaling ML models, data pipelines, and advanced analytics platforms using a variety of tools and cloud platforms. I am passionate about transforming large-scale raw data into actionable insights while ensuring compliance with regulations and governance standards. In my work, I collaborate closely with stakeholders to deliver measurable business impact in areas such as predictive modeling, fraud detection, and demand forecasting. I also enjoy mentoring teams, fostering a data-driven culture, and driving innovation through automation and scalable solutions that improve efficiency and accelerate business outcomes.

Available to hire

I am a results-driven Senior Data Scientist with over 7 years of experience in developing, deploying, and optimizing predictive analytics, machine learning, and decision intelligence solutions. I specialize in building and scaling ML models, data pipelines, and advanced analytics platforms using a variety of tools and cloud platforms. I am passionate about transforming large-scale raw data into actionable insights while ensuring compliance with regulations and governance standards.

In my work, I collaborate closely with stakeholders to deliver measurable business impact in areas such as predictive modeling, fraud detection, and demand forecasting. I also enjoy mentoring teams, fostering a data-driven culture, and driving innovation through automation and scalable solutions that improve efficiency and accelerate business outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Lead Data Scientist at SA Data Global
February 1, 2022 - Present
Led a team of five data scientists delivering predictive ML models for customer behavior, demand forecasting, and operational optimization, influencing product and marketing strategies. Engineered scalable feature pipelines processing terabytes of data daily, implemented real-time anomaly detection to prevent fraud, and automated model retraining workflows for faster and reliable deployment. Developed monitoring dashboards to track model health and championed responsible AI with fairness, explainability, and compliance frameworks. Collaborated with data engineering teams to enhance platform scalability and efficiency.
Senior Data Scientist at Sentinel Technologies
January 31, 2022 - September 4, 2025
Developed and deployed ML models for fraud detection, credit risk scoring, and customer segmentation to enhance fraud prevention. Migrated over 200 legacy models to cloud-native pipelines using AWS SageMaker and BigQuery ML, improving reproducibility and reducing model drift. Automated feature engineering and collaborated with financial analysts to integrate ML outputs into BI dashboards for real-time risk decision-making. Enhanced governance with version control and metadata tracking and mentored junior scientists. Partnered with DevOps to implement CI/CD pipelines for ML deployments.
Data Scientist at TeeJet Technologies
December 31, 2017 - September 4, 2025
Designed ML models to predict equipment failures and optimized preventive maintenance leveraging IoT sensor data, reducing downtime and costs. Applied regression and classification for demand forecasting and defect detection in manufacturing, increasing operational efficiency. Built automated validation frameworks for training data quality, migrated BI dashboards to Power BI integrating ML predictions, and optimized SQL and Spark jobs for faster feature extraction. Partnered with engineers to integrate model outputs via APIs and supported early computer vision AI pilot projects.

Education

Add your educational history here.

Qualifications

Bachelor’s degree
January 11, 2030 - September 4, 2025

Industry Experience

Financial Services, Manufacturing, Software & Internet, Retail, Transportation & Logistics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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