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@ashkansheikhansari
Data Analyst & ML Engineer delivering impactful fraud-detection models.
I am a Data Analyst and Machine Learning Engineer with a strong background in developing production-grade models for fraud detection and credit risk assessment. With an MSc in Artificial Intelligence from Brunel University London, I have successfully delivered models that achieve 92% recall and 89% accuracy across over 10,000 daily transactions. My expertise lies in utilizing Python, SQL, and various machine learning frameworks to drive data-driven decision-making.
Throughout my career, I have worked with Outlier AI and Tejarat Bank, where I have honed my skills in data cleansing, model building, and automation. Notable achievements include building an XGBoost fraud-detection pipeline that prevented approximately £1.2M in annual chargebacks and automating daily credit-risk reports, significantly reducing manual workload. I am passionate about leveraging data to create impactful solutions and continuously seek opportunities to enhance my skills in data engineering and machine learning operations.
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Work history, roles, and key accomplishments
Audited over 3200 LLM responses weekly, improving prompt logic and client NPS by 12 points. Developed a FastAPI evaluation harness that significantly reduced regression testing time, and delivered reliability dashboards for product leads.
Tejarat Bank
Jun 2021 - Sep 2023 (2 years 3 months)
Cleansed over 500k Oracle/MySQL transaction rows and built an XGBoost fraud-detection pipeline achieving 92% recall, preventing around £1.2M in annual charge-backs. Automated daily credit-risk reports, eliminating 4 hours of manual work each week.
Tejarat Bank
Jun 2020 - Jun 2021 (1 year)
Tuned over 200 stored procedures, reducing query latency by 30%. Deployed Nagios monitoring, cutting P1 outages from 5 to 1 per month, and wrote PL/SQL validation scripts that reduced manual data-entry errors by 20%.
Degrees, certifications, and relevant coursework
MSc in Artificial Intelligence, Artificial Intelligence
Specialized in Machine Learning, Deep Learning, Data Science, and AI Project Management. Key projects: Developed deep learning models for stock prediction and real-time analytics.
BSc in Software Engineering, Software Engineering
Focused on Python, Algorithms, Databases, Artificial Intelligence, and Computer Vision.
Software and tools used professionally
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