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I am a data scientist with more than 5 years of experience building predictive models, anomaly detection systems, and decision dashboards that improve operational outcomes. My work spans rigorous mathematics and applied machine learning, with hands-on delivery in Python, SQL, Power BI, and AWS. I excel at translating messy, real-world business problems into reliable models and measurable improvements. I hold a PhD in Mathematics from Isfahan University of Technology, and I bring a rigorous mathematical foundation to applied ML. I enjoy designing novel learning algorithms and optimization frameworks, collaborating across teams to deliver scalable data solutions, and guiding data-driven decision-making that leads to tangible impact.…I am a data scientist with more than 5 years of experience building predictive models, anomaly detection systems, and decision dashboards that improve operational outcomes. My work spans rigorous mathematics and applied machine learning, with hands-on delivery in Python, SQL, Power BI, and AWS. I excel at translating messy, real-world business problems into reliable models and measurable improvements. I hold a PhD in Mathematics from Isfahan University of Technology, and I bring a rigorous mathematical foundation to applied ML. I enjoy designing novel learning algorithms and optimization frameworks, collaborating across teams to deliver scalable data solutions, and guiding data-driven decision-making that leads to tangible impact.

Majid Mazrooei

Data Scientist, AI Engineer, AI Prompt Engineer, +2

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I am a data scientist with more than 5 years of experience building predictive models, anomaly detection systems, and decision dashboards that improve operational outcomes. My work spans rigorous mathematics and applied machine learning, with hands-on delivery in Python, SQL, Power BI, and AWS. I excel at translating messy, real-world business problems into reliable models and measurable improvements. I hold a PhD in Mathematics from Isfahan University of Technology, and I bring a rigorous mathematical foundation to applied ML. I enjoy designing novel learning algorithms and optimization frameworks, collaborating across teams to deliver scalable data solutions, and guiding data-driven decision-making that leads to tangible impact.…I am a data scientist with more than 5 years of experience building predictive models, anomaly detection systems, and decision dashboards that improve operational outcomes. My work spans rigorous mathematics and applied machine learning, with hands-on delivery in Python, SQL, Power BI, and AWS. I excel at translating messy, real-world business problems into reliable models and measurable improvements. I hold a PhD in Mathematics from Isfahan University of Technology, and I bring a rigorous mathematical foundation to applied ML. I enjoy designing novel learning algorithms and optimization frameworks, collaborating across teams to deliver scalable data solutions, and guiding data-driven decision-making that leads to tangible impact.

Available to hire

I am a data scientist with more than 5 years of experience building predictive models, anomaly detection systems, and decision dashboards that improve operational outcomes. My work spans rigorous mathematics and applied machine learning, with hands-on delivery in Python, SQL, Power BI, and AWS. I excel at translating messy, real-world business problems into reliable models and measurable improvements.

I hold a PhD in Mathematics from Isfahan University of Technology, and I bring a rigorous mathematical foundation to applied ML. I enjoy designing novel learning algorithms and optimization frameworks, collaborating across teams to deliver scalable data solutions, and guiding data-driven decision-making that leads to tangible impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Scientist & Prompt Engineer at OUTLIER

August 1, 2024 - Present

Led an AI-powered data extraction pipeline to structure information from complex technical texts, accelerating processing speed and enhancing downstream usability. Implemented a real-time anomaly detection system (Isolation Forest, DBSCAN) to identify irregular contributor behavior, reducing fraud incidents. Built evaluation workflows for model performance and reliability, boosting solution efficiency (XGBoost/LSTM-based scoring).

Machine Learning Researcher at University of Victoria

August 1, 2021 - August 1, 2024

Designed a novel learning algorithm inspired by polar codes to improve regression accuracy and robustness under noisy conditions. Developed an optimization framework based on Nash equilibrium to enhance the performance of 5+ models using game-theoretic principles.

Senior Data Scientist at RAOS

June 1, 2017 - May 1, 2021

Built Power BI dashboards to visualize engagement and seasonal trends, improving marketing campaign efficiency through faster decision-making. Developed forecasting models (Random Forest, XGBoost) to predict high-value customer needs, enabling proactive pre-stocking and reducing wait time. Applied NLP sentiment analysis on customer comments to identify drivers of satisfaction, increasing positive feedback. Supported SQL-based reporting and marketing A/B testing, increasing conversions through measurement discipline and optimization.